Son dersler
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
Lecture 14 of Clay Carson's Introduction to African-American History Course (HIST 166) concentrating on the Modern Freedom Struggle (Fall 2007). This class session is a guest lecture by Elaine Brown on the Black Panther Party. Recorded November 13, 2007 at Stanford University.
This course introduces the viewer to African-American history, with particular emphasis on the political thought and protest movements of the period after 1930, focusing on selected individuals who have shaped and been shaped by modern African-American struggles for freedom and justice. Clayborne Carson is a professor in the History Department at Stanford University; Elaine Brown is the guest lecturer.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=40E11D5C66
Course syllabus:
http://www.stanford.edu/~ccars....on/History/Syllabus%
More on Clayborne Carson:
http://www.stanford.edu/~ccarson/
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
Lecture 13 of Clay Carson's Introduction to African-American History Course (HIST 166) concentrating on the Modern Freedom Struggle (Fall 2007). This lecture is entitled "Stokely Carmichael Defines Black Power". Recorded November 8, 2007 at Stanford University.
This course introduces the viewer to African-American history, with particular emphasis on the political thought and protest movements of the period after 1930, focusing on selected individuals who have shaped and been shaped by modern African-American struggles for freedom and justice. Clayborne Carson is a professor in the History Department at Stanford University.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=40E11D5C66
Course syllabus:
http://www.stanford.edu/~ccars....on/History/Syllabus%
More on Clayborne Carson:
http://www.stanford.edu/~ccarson/
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
Our project is a real time cartoonifier. It bolds edges and reduces colors to make the video feed look like a cartoon. The colors can be reduced on a per channel basis from 3 bits per color all the way down to grayscale. Cartoonization is the act of modifying an image so it looks as if it were rendered by a computer or sketched by an artist. This includes bolding any edges or contours in the image and making colors brighter and more vibrant. In addition the amount of colors used in the image is reduced and smoothed out. In our implementation the number of possible colors is selectable by the user. See
http://people.ece.cornell.edu/....land/courses/ece5760
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
Lecture 12 of Clay Carson's Introduction to African-American History Course (HIST 166) concentrating on the Modern Freedom Struggle (Fall 2007). This lecture is entitled "Malcolm X and his Ambiguous Legacy". Recorded November 6, 2007 at Stanford University.
This course introduces the viewer to African-American history, with particular emphasis on the political thought and protest movements of the period after 1930, focusing on selected individuals who have shaped and been shaped by modern African-American struggles for freedom and justice. Clayborne Carson is a professor in the History Department at Stanford University.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=40E11D5C66
Course syllabus:
http://www.stanford.edu/~ccars....on/History/Syllabus%
More on Clayborne Carson:
http://www.stanford.edu/~ccarson/
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
Lecture 11 of Clay Carson's Introduction to African-American History Course (HIST 166) concentrating on the Modern Freedom Struggle (Fall 2007). This class session is a guest lecture by Clarence Jones on Dr. Martin Luther King, Jr. Recorded November 1, 2007 at Stanford University.
This course introduces the viewer to African-American history, with particular emphasis on the political thought and protest movements of the period after 1930, focusing on selected individuals who have shaped and been shaped by modern African-American struggles for freedom and justice. Clayborne Carson is a professor in the History Department at Stanford University; Clarence Jones is the guest lecturer.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=40E11D5C66
Course syllabus:
http://www.stanford.edu/~ccars....on/History/Syllabus%
More on Clayborne Carson:
http://www.stanford.edu/~ccarson/
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
http://people.ece.cornell.edu/....land/courses/ece5760
In this project, we built a system that detects the position of fingers on a sheet of paper using a camera and play a sound depending on the position. The camera was used to detect the skin and thus track movement of the fingers on the paper. The output of the camera could be seen on the VGA screen. The keyboard for piano and drum was also displayed on the VGA screen. Depending on the hit position of the finger the appropriate sound would then be played using sound synthesis for piano and drum. Thus we integrated all to give us an "Air Piano and Drum".
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
Lecture 10 of Clay Carson's Introduction to African-American History Course (HIST 166) concentrating on the Modern Freedom Struggle (Fall 2007). This class session is a guest lecture by Vincent Harding on Dr. Martin Luther King, Jr. Recorded October 25, 2007 at Stanford University.
This course introduces the viewer to African-American history, with particular emphasis on the political thought and protest movements of the period after 1930, focusing on selected individuals who have shaped and been shaped by modern African-American struggles for freedom and justice. Clayborne Carson is a professor in the History Department at Stanford University; Vincent Harding is the guest lecturer.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=40E11D5C66
Course syllabus:
http://www.stanford.edu/~ccars....on/History/Syllabus%
More on Clayborne Carson:
http://www.stanford.edu/~ccarson/
Stanford University channel on YouTube:
http://www.youtube.com/stanford
http://people.ece.cornell.edu/....land/courses/ece5760
The central idea behind this video game is to catch the delicious BBQ meat balls with the help of a BBQ stick. The more you catch the fatter you get and the more you score. The BBQ stick is controlled by the USB Mouse, which is connected to the USB port of the Altera DE2 Board. The BBQ stick moves left and right as the mouse moves. The length of the stick can be adjusted by pressing and releasing the left button of the mouse for different time intervals. User has to pick three identical meat balls in a row to score and erase the BBQ meat ball. User can get maximum of seven meat balls on the stick. One more meat ball will make him/her loose. We chose this project because the design of this video game involved lots of resources on the DE2 board from the implementation of USB Mouse interface to the implementation of a VGA controller. The idea is to use all these resources wisely to design a game that plays smoothly. And above all, the idea of designing a video game in hardware was just fascinating.
Lecture 9 of Clay Carson's Introduction to African-American History Course (HIST 166) concentrating on the Modern Freedom Struggle (Fall 2007). This class session is entitled "Bob Moses: Mississippi Organizer". Recorded October 23, 2007 at Stanford University.
This course introduces the viewer to African-American history, with particular emphasis on the political thought and protest movements of the period after 1930, focusing on selected individuals who have shaped and been shaped by modern African-American struggles for freedom and justice. Clayborne Carson is a professor in the History Department at Stanford University.
Complete playlist for the course:
http://www.youtube.com/view_play_list...
Course syllabus:
http://www.stanford.edu/~ccars....on/History/Syllabus%
More on Clayborne Carson:
http://www.stanford.edu/~ccarson/
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
http://people.ece.cornell.edu/....land/courses/ece5760
In this project, we connected a video camera to the FPGA and determined the location of the user's face in each frame by examining the color content of each pixel and determining which ones could represent human skin. The face's offset from the center of the camera's field of view, as well as its size, was then used to draw the appropriate projection.
Lecture 8 of Clay Carson's Introduction to African-American History Course (HIST 166) concentrating on the Modern Freedom Struggle (Fall 2007). This lecture is entitled "Ella Baker Inspires the Student Movement". Recorded October 18, 2007 at Stanford University.
This course introduces the viewer to African-American history, with particular emphasis on the political thought and protest movements of the period after 1930, focusing on selected individuals who have shaped and been shaped by modern African-American struggles for freedom and justice. Clayborne Carson is a professor in the History Department at Stanford University.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=40E11D5C66
Course syllabus:
http://www.stanford.edu/~ccars....on/History/Syllabus%
More on Clayborne Carson:
http://www.stanford.edu/~ccarson/
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
http://people.ece.cornell.edu/....land/courses/ece5760
In this project we turned a Altera Cyclone II FGPA into a simple video production unit with the help of a Sony Handycam and a PC for serial communication. The main focus of the project is the ability to provide a green screen effect, most commonly seen with weather news. We would extract the green regions of the video based on a threshold and display a background image, such as a weather map. This image is able to be transferred to the FPGA over RS-232 serial communication in as fast as 1 second for a black and white image. Other production effects including interfacing a PS/2 keyboard to write titles on top of the image, fade in and outs, and a reverse green screen method. The output of the produced video image is displayed on a VGA compatible monitor at 640x480 resolution.
Lecture 7 of Clay Carson's Introduction to African-American History Course (HIST 166) concentrating on the Modern Freedom Struggle (Fall 2007). This class session is a guest lecture by Awele Makeba on "The Women Who Made the Montgomery Movement". Recorded October 16, 2007 at Stanford University.
This course introduces the viewer to African-American history, with particular emphasis on the political thought and protest movements of the period after 1930, focusing on selected individuals who have shaped and been shaped by modern African-American struggles for freedom and justice. Clayborne Carson is a professor in the History Department at Stanford University; Awele Makeba is the guest lecturer.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=40E11D5C66
Course syllabus:
http://www.stanford.edu/~ccars....on/History/Syllabus%
More on Clayborne Carson:
http://www.stanford.edu/~ccarson/
Stanford University channel on YouTube:
http://www.youtube.com/stanford
http://people.ece.cornell.edu/....land/courses/ece5760
Our project derives ideas from the classic breakout game. In the game, there is a layer of bricks located on the top of the screen, a moveable paddle on the bottom, and a ball travelling across the screen. The objective of the game is to use the paddle to bounce the ball back up every time it falls down so that eventually the ball will break all the bricks. In our version, however, the game can be controlled with hand motions. Specifically, the player can move his hand left, right, up, or down to control the paddle accordingly. In addition to this, the player is allowed to accelerate or decelerate the ball by moving his hand up or down, respectively.
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
http://people.ece.cornell.edu/....land/courses/ece5760
he result of this project is an AVR powered robot that is completely controlled by the hardware and software running on the Cyclone II FPGA. Wireless data transfer is used to send commands to the robot, which result in it moving to a new location or sending out a sound for the FPGA to interpret. The robot is also able to collect data about its surroundings, which the FPGA is again able to analyze.
Lecture 6 of Clay Carson's Introduction to African-American History Course (HIST 166) concentrating on the Modern Freedom Struggle (Fall 2007). This lecture is entitled "Martin Luther King, Jr.'s Social Gospel". Recorded October 11, 2007 at Stanford University.
This course introduces the viewer to African-American history, with particular emphasis on the political thought and protest movements of the period after 1930, focusing on selected individuals who have shaped and been shaped by modern African-American struggles for freedom and justice. Clayborne Carson is a professor in the History Department at Stanford University.
Complete Playlist for the Course:
http://www.youtube.com/view_pl....ay_list?p=84A56BC7F4
CS106A at Stanford Unversity:
http://www.stanford.edu/class/cs106a/
Stanford University:
http://www.stanford.edu
Stanford University on YouTube:
http://www.youtube.com/stanford
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
Three wireless instruments, plus vocal bot.
http://people.ece.cornell.edu/....land/courses/eceproj
Rock Band 2 is a popular video game enjoyed by millions on their Xbox 360 console game systems. However, unlocking all of the available songs is a task that many players do not have time or patience for. In addition, many players wish they had talented players to achieve high scores with. We have designed a system that is able to beat Rock Band songs on any difficulty, playing up to four instruments at a time. Implemented on an FPGA, the design is capable of highly accurate, real-time results. Video is read directly from the Xbox without any external sensors mounted on the TV. Modifications were made to the Rock Band instruments that maintain their original functionality and wireless radios were used to allow users to play the game far away from the Xbox. Advanced detection algorithms allow this device to achieve near-perfect scores and compete with any human.
http://people.ece.cornell.edu/....land/courses/ece5760
This project is a velocity sensitive hardware based piano synth. We simulated two strings per note using a Karplus Strong algorithm written in Verilog, and coupled it with a Casio electric piano keyboard fitted with custom switches to act as a user interface. On an Altera DE2 board we built a hardware Karplus-Strong synthesizer to simulate a piano key with two strings, along with a hardware timer. The timer was used to determine the key push's velocity, which in turn affected the volume level of the synthesized sound. The keyboard fed into the DE2 using the board's GPIO ports.
Lecture 5 of Clay Carson's Introduction to African-American History Course (HIST 166) concentrating on the Modern Freedom Struggle (Fall 2007). This lecture is entitled "Bayard Rustin: Radical Outsider". Recorded October 9, 2007 at Stanford University.
This course introduces the viewer to African-American history, with particular emphasis on the political thought and protest movements of the period after 1930, focusing on selected individuals who have shaped and been shaped by modern African-American struggles for freedom and justice. Clayborne Carson is a professor in the History Department at Stanford University.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=40E11D5C66
Course syllabus:
http://www.stanford.edu/~ccars....on/History/Syllabus%
More on Clayborne Carson:
http://www.stanford.edu/~ccarson/
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Three parallel processors sharing memory with each other and a VGA interface to compute the aggregation.
http://people.ece.cornell.edu/....land/courses/ece5760
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
Lecture 4 of Clay Carson's Introduction to African-American History Course (HIST 166) concentrating on the Modern Freedom Struggle (Fall 2007). This lecture is entitled "Paul Robeson: Star to Outcast". Recorded October 4, 2007 at Stanford University.
This course introduces the viewer to African-American history, with particular emphasis on the political thought and protest movements of the period after 1930, focusing on selected individuals who have shaped and been shaped by modern African-American struggles for freedom and justice. Clayborne Carson is a professor in the History Department at Stanford University.
Complete playlist for the course:
http://youtube.com/view_play_l....ist?p=40E11D5C66CAC4
Course syllabus:
http://www.stanford.edu/~ccars....on/History/Syllabus%
More on Clayborne Carson:
http://www.stanford.edu/~ccarson/
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Lecture 3 of Clay Carson's Introduction to African-American History Course (HIST 166) concentrating on the Modern Freedom Struggle (Fall 2007). This lecture is entitled "Shirley Graham: Transformation of an Artist/Intellectual". Recorded October 2, 2007 at Stanford University.
This course introduces the viewer to African-American history, with particular emphasis on the political thought and protest movements of the period after 1930, focusing on selected individuals who have shaped and been shaped by modern African-American struggles for freedom and justice. Clayborne Carson is a professor in the History Department at Stanford University.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=40E11D5C66
Course syllabus:
http://www.stanford.edu/~ccars....on/History/Syllabus%
More on Clayborne Carson:
http://www.stanford.edu/~ccarson/
Stanford University channel on YouTube:
http://www.youtube.com/stanford
http://people.ece.cornell.edu/....land/courses/ece5760
The Pyro Sand Game is itself only one of many variations of similar falling sand games. It includes 17 different drawable particle types, most of which can be categorized as either an immobile wall-like particle (such as wall, plant, or wax) that ignores both gravity and other forces, or a mobile sand-like particle (such as sand, water, or salt) that does experience a gravity force and can be pushed by other particles.
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
Lecture 2 of Clay Carson's Introduction to African-American History Course (HIST 166) concentrating on the Modern Freedom Struggle (Fall 2007). This lecture focuses on W.E.B. Du Bois and the Great Depression. Recorded September 27, 2007 at Stanford University.
This course introduces the viewer to African-American history, with particular emphasis on the political thought and protest movements of the period after 1930, focusing on selected individuals who have shaped and been shaped by modern African-American struggles for freedom and justice. Clayborne Carson is a professor in the History Department at Stanford University.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=40E11D5C66
Course syllabus:
http://www.stanford.edu/~ccars....on/History/Syllabus%
More on Clayborne Carson:
http://www.stanford.edu/~ccarson/
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
Lecture 1 of Clay Carson's Introduction to African-American History Course (HIST 166) concentrating on the Modern Freedom Struggle (Fall 2007). Topics in this lecture include a course introduction and W.E.B. Du Bois. Recorded September 25, 2007 at Stanford University.
This course introduces the viewer to African-American history, with particular emphasis on the political thought and protest movements of the period after 1930, focusing on selected individuals who have shaped and been shaped by modern African-American struggles for freedom and justice. Clayborne Carson is a professor in the History Department at Stanford University.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=40E11D5C66
Course syllabus:
http://www.stanford.edu/~ccars....on/History/Syllabus%
More on Clayborne Carson:
http://www.stanford.edu/~ccarson/
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
3:00 action potential modeling (continued)
8:42 retina organization discussion
48:00 upper body prosthesis discussion
00:43 action potential modeling using transistors
42:47 cardiac action potential model
43:50 stripped down heart model
Heart model: http://people.ece.cornell.edu/....land/courses/ece1810
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
Students wanted to be in lab. lecture cut to 10 minutes!
(March 9, 2010) Dr. Frank Drake discusses the program that he founded, Search for Extra-Terrestrial Intelligence (SETI), and the possibility of finding extraterrestrial life in the greater universe.
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford/
0:00 EMG discussion and debugging and final project discussion
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
(March 4, 2010) Dr. Yvonne Clearwater, Past Principle Investigator for NASA Habitability Research Program, discusses the complexity of designing a habitable space station that promotes research productivity by keeping astronauts healthy and happy in space.
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
0:00 capacitive recording
14:46 adaptive LMS noise cancelers (continued) and heart waveform
(March 2, 2010) John Hogan, Bioengineering Branch NASA Ames Research Center, discusses research in life support systems that could be used to create a sustainable and regenerative environment in space.
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
0:00 Design project description
58:50 Adaptive LMS 60 Hz filter
http://people.ece.cornell.edu/....land/courses/ece5030
http://people.ece.cornell.edu/....land/courses/ece5030
(February 23, 2010) Chris McKay, Planetary Scientist with the Space Science Division of NASA Ames Research Center , discusses the idea that, based on the human valuation of life, the mission of astrobiology is to expand the richness and diversity of life in the universe.
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
25:50 Pan-Tompkins algorithm
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
2:25 Twin-T filter
10:00 Pulse wave speed to blood pressure
16:10 setting up the isolated power supply
19:00 setting up the linear isolator
47:35 passive biological voltage sensors
(February 16, 2010) Rocco Mancinelli, Bay Area Environmental Research Institute, discusses how research has taken the first step to understanding how organisms survive and evolve outside of planet earth.
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
0:00 VCVS filtering continued
2:54 state variable filter
10:40 switched capacitor filter
19:40 Twin-T notch filter
59:10 Non-contact capacitance sensors
(February 11, 2010) Lynn Rothschild, Professor and NASA Research Scientist, and Stephen Palumbi, Director of the Hopkins Marine Station, discuss Darwin's career from childhood to the end of his life and his theory of evolution.
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
0:00 ECG from the arm
40:41 making +/- supply from one battery
32:00 making a good filter
53:00 VCVS active filter
http://people.ece.cornell.edu/....land/courses/ece5030
(February 9, 2010) Dr. Janice Bishop with Carl Sagan Center at the SETI Institute and the NASA Ames Research Center discusses Martian geology and mineralogy, and the search for life on Mars.
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
(February 2, 2010) David Morrison, NASA Lunar Science Institute, discusses the discovery of the cretaceous catastrophe that caused the last mass extinction and explains NASA's research on the danger of similar events occurring in Earth's near future.
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(January 28, 2010) Professor Lynn Rothschild discusses the predictability of evolution in regards to in the world today by using insight from the past.
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford/
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
0:00 Finger Plethysmograph
15:30 EMG discussion
18:49 silver/silver-chloride electrodes
33:50 force transducer
39:27 skin impedance
50:20 FIR and IIR filters
(January 26, 2010) Professor Lynn Rothschild discusses what extremophiles are, why they are important, and how they are applicable to the evolution of life, what else might be out there, and the future of life.
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
5:00 EMG block diagram
15:00 leakage current through isolator
23:30 linear optoisolator
42:40 ideas for lab 4 and discussion
1:02:22 bioelectrodes
http://people.ece.cornell.edu/....land/courses/ece5030
(January 21, 2010) Professor Lynn Rothschild discusses evolution in the context of space and time, focusing on the emergence of life in a planetary context on Earth and possibly elsewhere as well as the evolution of intelligence and the search for it elsewhere.
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford/
0:00 lab 2 discussion
9:30 noise sources
29:12 building power distribution
48:20 power in a room
1:00:00 minimizing 60 Hz interference
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
(January 19, 2010) Lynn Rothschild, Research Scientist NASA Astrobiology Institute Ames Research Center, discusses the need for and attempts to create an operational definition of what it means to be alive.
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
3:00 better comparator for pulse measurement
11:26 opamp differential amplifier
26:10 intracellular amplifier -- capacitance -- neg cap feedback
55:00 virtual ground
57:10 negative resistance circuit
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
(January 14, 2010) Geoff Marcy, UC Berkeley Professor of Astronomy and Co-Investigator on Kepler Team, discusses the Keplar Teams efforts to locate earth-like planets by observing orbit, doppler shift, and dimming of Upsilon Andromedae.
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
0:00 opamps
4:00 input offset voltage
9:00 gain bandwidth product
13:00 computing the opamp gain
24:30 opamp data sheet
32.25 basic differential amplifier
44:45 improved differential amplifier
(February 9, 2010) Louis Allamandola, Research Scientist with NASA Astrobiology Institute Ames Research Center, discusses his research, which implies that if life is extreme chemical complexity, and knowing that life-forming chemicals are widespread in the universe, it may be posited that the universe, if the conditions are right, is poised for life.
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
0.:00 lab 2 circuitry and data analysis
1:00:00 Opamp gain of 10,000?
http://people.ece.cornell.edu/....land/courses/ece5030
0:00 Ni-DAQ
20:50 Lab 2 -- pulse measurement using IR light
http://people.ece.cornell.edu/....land/courses/ece5030
http://people.ece.cornell.edu/....land/courses/ece5030
Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit http://nptel.ac.in
6:00 Matlab handle graphics
11:00 GUI design in Matlab
25:00 Matlab object properties
38:00 GUI example
56:00 Matlab NI-DAQ interface
http://people.ece.cornell.edu/....land/courses/ece5030
http://people.ece.cornell.edu/....land/courses/ece5030
http://people.ece.cornell.edu/....land/courses/ece5030
8:50 How cells change voltage
24:30 cell equivalent circuits
31:00 action potential generation
52:20 heart structure
1:00:00 heart electronics
Help us caption and translate this video on Amara.org: http://www.amara.org/en/v/bZH/
December 1, 2008 lecture by George Levine for the Stanford Continuing Studies course on Darwin's Legacy (DAR 200). Dr. Levine discusses through analysis of Darwin's literary works, ways of seeing and being enchanted by the world as well as the poetic eloquence of Darwin's prose. The lecture is concluded with a discussion between Dr. Levine and Rob Polhemus.
Stanford Continuing Studies:
http://csp.stanford.edu
Stanford University:
http://www.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
November 17, 2008 lecture by Russell Fernald for the Stanford Continuing Studies course on Darwin's Legacy (DAR 200). Dr. Fernald discusses how social behavior changes the brains of fish, animals, and humans to adapt to situations typically involving mating behaviors. The lecture is concluded with a panel discussion with Eric Knudsen and Charles Junkerman.
Stanford Continuing Studies:
http://csp.stanford.edu
Stanford University:
http://www.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
November 10, 2008 lecture by Paul Ewald for the Stanford Continuing Studies course on Darwin's Legacy (DAR 200). Dr. Ewald speaks about how several pathogenic viruses have evolved over time to break down the cell's barriers to several types of cancer. He suggests that further research will aid in the discovery of additional viruses linked to the causation of cancer. The lecture is concluded with a panel discussion with Gary Schoolnik and Stanley Falkow.
Stanford Continuing Studies:
http://csp.stanford.edu
Stanford University:
http://www.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
0:00 Course intro
46:00 start biology -- how cells generate voltages
ALL COURSE MATERIALS are at
http://people.ece.cornell.edu/....land/courses/ece5030
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
November 3, 2008 lecture by Professor Melissa Brown for the Stanford Continuing Studies course on Darwin's Legacy (DAR 200). Professor Brown speaks about the history and consequences of social Darwinism, and offers insight into new ways of thinking about social evolution.
Stanford Continuing Studies:
http://csp.stanford.edu
Stanford University:
http://www.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
October 27, 2008 lecture by Niles Eldredge for the Stanford Continuing Studies course on Darwin's Legacy (DAR 200). Dr. Eldredge discusses Darwin's life and work. The lecture is concluded with a panel discussion with Ward Watt and Liz Hadly.
Stanford Continuing Studies:
http://csp.stanford.edu
Stanford University:
http://www.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
Ethics by Prof. Vineet Sahu, Department of Humanities and Social Sciences, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
October 20, 2008 lecture by Peter and Rosemary Grant for the Stanford Continuing Studies course on Darwin's Legacy (DAR 200). The Grants discuss how and why species multiply. The lecture is concluded with a panel discussion with Carol Boggs and Rodolfo Dirzo.
Stanford Continuing Studies:
http://csp.stanford.edu
Stanford University:
http://www.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
October 13, 2008 lecture by Daniel Dennett for the Stanford Continuing Studies course on Darwin's Legacy (DAR 200). Dr. Dennett presents the philosophical importance of Darwin's theory of evolution. The lecture is concluded with a panel discussion with Hank Greely and Chris Bobonich.
Stanford Continuing Studies:
http://csp.stanford.edu
Stanford University:
http://www.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
October 6, 2008 lecture by Janet Browne for the Stanford Continuing Studies course on Darwin's Legacy (DAR 200). Dr. Browne presents a biography on Charles Darwin and explores Darwin's Origin of Species. The lecture is concluded with a panel discussion with Craig Heller and Robert Proctor.
Darwin's Legacy Course:
http://csp.stanford.edu/course/dar200.asp
Stanford Continuing Studies:
http://csp.stanford.edu
Stanford University:
http://www.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
September 29, 2008 lecture by Eugenie Scott for the Stanford Continuing Studies course on Darwin's Legacy (DAR 200). Dr. Scott explores the evolution vs. creationism debate and provides an argument for evolution. The lecture is concluded with a panel discussion with Brent Sockness and Jeff Wine.
Stanford Continuing Studies:
http://csp.stanford.edu
Stanford University:
http://www.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
September 22, 2008 introductory lecture by William Durham for the Stanford Continuing Studies course on Darwin's Legacy (DAR 200). Professor Durham provides an overview of the course; Professor Robert Siegel touches upon "Darwin's Own Evolution;" Professor Durham returns for a talk on "Darwin's Data;" and the lecture concludes with a panel discussion moderated by Dr. Lynn Rothschild.
Stanford Continuing Studies:
http://csp.stanford.edu
Stanford University:
http://www.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
The Fall 2018 version of CS4780 featured an in-class Kaggle competition. The stuents had 3 weeks to beat my submission, for which I only had 5 minutes. Some students challenged me to show a screencast of me actually training and uploading the model in time, so here you go. Happy Xmas.
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
video
(May 27, 2010) Joe Hayashi covers mobile app product strategy and marketing from a business perspective.
Palm executives including VP, Directors, and Senior Product Managers lead a course on mobile application development on the WebOS. Students have the unique opportunity to attain the technical knowledge needed to create their own apps, get insider information about the application submission process at companies like Apple and Palm, and network with various members of Palm's executive team.
Stanford University:
http://www.stanford.edu/
Stanford Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
(May 20, 2010) Jeff Haynie, CEO of Appcelerator, demonstrates his company's Titanium tool for developing cross platform apps.
Palm executives including VP, Directors, and Senior Product Managers lead a course on mobile application development on the WebOS. Students have the unique opportunity to attain the technical knowledge needed to create their own apps, get insider information about the application submission process at companies like Apple and Palm, and network with various members of Palm's executive team.
Stanford University:
http://www.stanford.edu/
Stanford Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
(May 13, 2010) David Balmer provides a general overview of developing games for the web.
Palm executives including VP, Directors, and Senior Product Managers lead a course on mobile application development on the WebOS. Students have the unique opportunity to attain the technical knowledge needed to create their own apps, get insider information about the application submission process at companies like Apple and Palm, and network with various members of Palm's executive team.
Stanford University:
http://www.stanford.edu/
Stanford Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
(May 6, 2010) Justin Tulloss covers building apps that encompass multiple stages via dashboards, popups, and relaunching.
Palm executives including VP, Directors, and Senior Product Managers lead a course on mobile application development on the WebOS. Students have the unique opportunity to attain the technical knowledge needed to create their own apps, get insider information about the application submission process at companies like Apple and Palm, and network with various members of Palm's executive team.
Stanford University:
http://www.stanford.edu/
Stanford Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
(April 29, 2010) Fred Patton discusses UI components and services in detail.
Palm executives including VP, Directors, and Senior Product Managers lead a course on mobile application development on the WebOS. Students have the unique opportunity to attain the technical knowledge needed to create their own apps, get insider information about the application submission process at companies like Apple and Palm, and network with various members of Palm's executive team.
Stanford University:
http://www.stanford.edu/
Stanford Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
(April 22, 2010) Steven Feaster presents an introduction to developing apps on WebOS. Gray Norton them demonstrates the Ares development tool.
Palm executives including VP, Directors, and Senior Product Managers lead a course on mobile application development on the WebOS. Students have the unique opportunity to attain the technical knowledge needed to create their own apps, get insider information about the application submission process at companies like Apple and Palm, and network with various members of Palm's executive team.
Stanford University:
http://www.stanford.edu/
Stanford Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
(April 15, 2010) Jeremy Lyon shares his personal perspective on how to approach the design of mobile applications and provides some examples.
Palm executives including VP, Directors, and Senior Product Managers lead a course on mobile application development on the WebOS. Students have the unique opportunity to attain the technical knowledge needed to create their own apps, get insider information about the application submission process at companies like Apple and Palm, and network with various members of Palm's executive team.
Stanford University:
http://www.stanford.edu/
Stanford Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(April 8, 2010) Ben Galbraith provides a general introduction to HTML and CSS. Dion Almaer then shares some examples of CSS and HTML 5 in action and goes on to demonstrate javascript.
Palm executives including VP, Directors, and Senior Product Managers lead a course on mobile application development on the WebOS. Students have the unique opportunity to attain the technical knowledge needed to create their own apps, get insider information about the application submission process at companies like Apple and Palm, and network with various members of Palm's executive team.
Stanford University:
http://www.stanford.edu/
Stanford Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
(April 1, 2010) Connie Chan provides an introduction to the course. Ben Galbraith then gives an overview of web application development.
Palm executives including VP, Directors, and Senior Product Managers lead a course on mobile application development on the WebOS. Students have the unique opportunity to attain the technical knowledge needed to create their own apps, get insider information about the application submission process at companies like Apple and Palm, and network with various members of Palm's executive team.
Stanford University:
http://www.stanford.edu/
Stanford Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
Yi Cui, associate professor of Materials Science and Engineering at Stanford University, discusses designing nanomaterials for energy storage, including batteries and supercapacitors. The Energy Seminar meets weekly during the academic year. For a list of upcoming talks, visit the events page at the Woods Institute for the Environment website.
Stanford University:
http://www.stanford.edu/
Woods Institute for the Environment at Stanford:
http://woods.stanford.edu//
Yi Cui
http://www.stanford.edu//group/cui_group/yicui.html
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
John O'Donnell, energy and climate entrepreneur, discusses solar thermal power. The Energy Seminar meets weekly during the academic year. For a list of upcoming talks, visit the events page at the Woods Institute for the Environment website.
Stanford University:
http://www.stanford.edu/
Woods Institute for the Environment at Stanford:
http://woods.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
January 7, 2009 lecture by Lee Schipper for the Woods Energy Seminar (ENERGY301). In his talk "When the Rubber Hits the Road: The Real Story on Fuel Economy in the US and other Developed Countries, with Implications for Developing Asia," Schipper discusses better and more realistic fuel economy options in the US and other industrialized nations.
The Woods Energy Seminar is an interdisciplinary series of talks primarily by Stanford experts on a broad range of energy topics. Lee Schipper is a Senior Research Engineer at the Precourt Institute for Energy Efficiency at Stanford University.
Woods Institute for the Environment
http://woods.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
January 14, 2009 lecture by David Victor for the Woods Energy Seminar (ENERGY301). In his talk "New Ways to Think About Regulating Greenhouse Gasses," Victor discusses the need for an international and universal regulation on greenhouse gas emissions and he posits that the nature of the climate problem has been erroneously placed on compliance concerns rather than actual effort.
The Woods Energy Seminar is an interdisciplinary series of talks primarily by Stanford experts on a broad range of energy topics. David Victor is the Director of Stanford's Program on Energy and Sustainable Development.
Woods Institute for the Environment
http://woods.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
January 21, 2009 lecture by Ilan Kroo for the Woods Energy Seminar (ENERGY301). In his talk "Future Air Transportation and the Environment," Kroo discusses the impact of aviation on the environment and the idea of "sustainable" aviation.
The Woods Energy Seminar is an interdisciplinary series of talks primarily by Stanford experts on a broad range of energy topics. Ilan Kroo is a professor of Aeronautics and Astronautics at Stanford University.
Woods Institute for the Environment
http://woods.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
January 28, 2009 lecture by Julie Young for the Woods Energy Seminar (ENERGY301). In her talk "Renewable Ocean Energy Conversion Systems: Advancing State-of-the-Art," Young discusses renewable ocean energy technologies.
The Woods Energy Seminar is an interdisciplinary series of talks primarily by Stanford experts on a broad range of energy topics. Yin Lu (Julie) Young is an Assistant Professor of Civil and Environmental Engineering at Princeton University.
Woods Institute for the Environment
http://woods.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
February 5, 2009 lecture by Nicholas Jenkins for the Woods Energy Seminar (ENERGY301). In his talk "Smart Grids and De-Carbonising the Power Sector," Jenkins discusses the progress and implementation of smart power grids using cost-effective analysis.
The Woods Energy Seminar is an interdisciplinary series of talks primarily by Stanford experts on a broad range of energy topics. Nicholas Jenkins is the Shimizu Visiting Professor of the Atmosphere and Enery Program at Stanford University.
Woods Institute for the Environment
http://woods.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
February 11, 2009 lecture by Jefferson Tester for the Woods Energy Seminar (ENERGY301). In his talk "A Pathway for Widespread Utilization of Geothermal Energy--the Roles of Multi-scale Resource and Technology Research and Systems Analysis," Tester talks about the benefits and challenges of harnessing geothermal energy, and he asserts that it is a large resource that complements solar and wind energy and is both carbon free and scalable.
The Woods Energy Seminar is an interdisciplinary series of talks primarily by Stanford experts on a broad range of energy topics. Jefferson Tester is the David Croll Chair for Sustainable Energy Systems and Associate Director for the Cornell Center for a Sustainable Future in the School of Chemical and Biomolecular Engineering at Cornell University.
Woods Institute for the Environment
http://woods.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
February 18, 2009 lecture by Brent Constanz for the Woods Energy Seminar (ENERGY301). In his talk "A Pathway for Widespread Utilization of Geothermal Energy--the Roles of Multi-scale Resource and Technology Research and Systems Analysis," Brent Constanz states that concrete is the most used product worldwide next to water and he suggests that we could safely, cheaply, and quickly store carbon dioxide in concrete at the rate of about six billion yards per year.
The Woods Energy Seminar is an interdisciplinary series of talks primarily by Stanford experts on a broad range of energy topics.
Woods Institute for the Environment
http://woods.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
February 25, 2009 lecture by Jacques Bouchard for the Woods Energy Seminar (ENERGY301). In his talk "Can Nuclear Energy be a Sustainable Contribution to Address Climate Change Concerns? The French Experience," Jacques Bouchard gives a comprehensive overview of France's development and innovation of nuclear energy technology.
The Woods Energy Seminar is an interdisciplinary series of talks primarily by Stanford experts on a broad range of energy topics.
Woods Institute for the Environment
http://woods.stanford.edu/
Stanford Channel on YouTube:
http://www.youtube.com/stanford
March 4, 2009, Richard Morse states that coal is the largest growing source of energy and that regulation and policy are beginning to play a larger role in the economy of coal power. Morse also discusses the heavy reliance on coal by developing countries and the need to understand and evaluate all mitigation options.
Stanford Woods Institute for the Environment
http://woods.stanford.edu/cgi-....bin/energyseminar.ph
Stanford Channel on YouTube:
http://www.youtube.com/stanford
April 1, 2009 - Dan Arvizu, director of the Department of Energy's National Renewable Energy Laboratory, discusses the current state of renewable energy technology and implementation in the U.S., as well as potential advancements in the near future. The Energy Seminar meets during the academic year on Wednesdays, 4:15 to 5:15 p.m. For a listing of upcoming Energy Seminar talks, please visit the events listing at the Woods Institute for the Environment website.
Stanford University
http://www.stanford.edu
Woods Institute for the Environment at Stanford
http://woods.stanford.edu
National Renewable Energy Laboratory
http://www.nrel.gov/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
April 22, 2009 - Scott McGaraghan, director of business development for EnerNOC, Inc., discusses current and developing technologies to maximize the potential energy saving benefits of local and national-level smart grid systems. The Energy Seminar meets during the academic year on Wednesdays, 4:15 to 5:15 p.m. For a listing of upcoming Energy Seminar talks, please visit the events listing at the Woods Institute for the Environment website.
Stanford University
http://www.stanford.edu
Woods Institute for the Environment
http://woods.stanford.edu
EnerNOC, Inc.
http://www.enernoc.com/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
Help us caption and translate this video on Amara.org: http://www.amara.org/en/v/wiR/
April 29, 2009 - Frank Wolak, senior fellow at the Stanford Institute for Economic Policy Research, discusses restructuring of the electricity industry in the U.S. using examples from California and explains the problems involved in energy market design. The Energy Seminar meets during the academic year on Wednesdays, 4:15 to 5:15 p.m. For a listing of upcoming Energy Seminar talks, please visit the events listing at the Woods Institute for the Environment website.
Stanford University
http://www.stanford.edu
Woods Institute for the Environment
http://woods.stanford.edu
Stanford Institute for Economic Policy Research
http://siepr.stanford.edu/
Frank Wolak's Homepage
http://www.stanford.edu/~wolak
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
May 6, 2009 - Lisa Schipper, research fellow at the Stockholm Environmental Institute, discusses theories connecting climate change adaptation to international development, and how they relate to concrete changes being implemented in southeast Asia and elsewhere. The Energy Seminar meets during the academic year on Wednesdays, 4:15 to 5:15 p.m. For a listing of upcoming Energy Seminar talks, please visit the events listing at the Woods Institute for the Environment website.
Stanford University
http://www.stanford.edu
Woods Institute for the Environment
http://woods.stanford.edu
Stockholm Environmental Institute
http://www.sei.se/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
May 13, 2009 - Ed Moses, principal associate director of the National Ignition Facility, Lawrence Livermore National Laboratory, discusses current laser inertial fusion energy technology and its potential to scale up to nationwide energy production in the next 10 years. The Energy Seminar meets during the academic year on Wednesdays, 4:15 to 5:15 p.m. For a listing of upcoming Energy Seminar talks, please visit the events listing at the Woods Institute for the Environment website.
Stanford University
http://www.stanford.edu
Woods Institute for the Environment
http://woods.stanford.edu
National Ignition Facility, Lawrence Livermore National Lab
http://lasers.llnl.gov/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video
Help us caption and translate this video on Amara.org: http://www.amara.org/en/v/v0M/
May 20, 2009 - Mark Zoback, professor in the Department of Geophysics, Stanford University, discusses recent developments in natural gas extraction that enable cost-effective carbon capture and storage to mitigate greenhouse gas emissions. The Energy Seminar meets during the academic year on Wednesdays, 4:15 to 5:15 p.m. For a listing of upcoming Energy Seminar talks, please visit the events listing at the Woods Institute for the Environment website.
Stanford University
http://www.stanford.edu
Woods Institute for the Environment
http://woods.stanford.edu
Professor Mark Zoback
http://woods.stanford.edu/cgi-bin/facultydb.pl?profile=zoback
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
September 23, 2009 - Adam Brandt, assistant professor of Energy Resources Engineering at Stanford University, discusses the results of a model-based comparison of the economic and systemic impacts of greenhouse gas emissions from various non-petroleum energy sources.
Stanford University
http://www.stanford.edu
Department of Energy Resources Engineering
http://pangea.stanford.edu/ERE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
video
September 30, 2009 - Michael Ramage, former executive vice president of ExxonMobil Research and Engineering Company, and James Sweeney, professor of economics at Stanford University, discuss the conclusions of the National Academy of Sciences report entitled America's Energy Future with a focus on the sections dealing with liquid transportation fuels.
Stanford University
http://www.stanford.edu
ExxonMobil Energy Resources Engineering
http://www.exxonmobil.com/Corporate/energy.aspx
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
October 14, 2009 - Sally Benson, director of the Global Climate and Energy Project, Pamela Matson, dean of the Stanford School of Earth Sciences, Lynn Orr, director of the Precourt Institute for Energy, Stephen Schneider, Stanford professor of Interdisciplinary Environmental Studies, James Sweeney, director of the Precourt Energy Efficiency Center, and Buzz Thompson, co-director of the Woods Institute for the Environment, discuss the interconnected aspects of future sustainable energy systems with a focus on the scales, tradeoffs, and co-benefits involved.
Stanford University
http://www.stanford.edu
Woods Institute for the Environment
http://woods.stanford.edu
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video
(October 28, 2009) Annie Hazlehurst, graduate student at the Stanford Graduate School of Business and in the E-IPER program, discusses the current state and future of the solar photovoltaic industry from an economic and business perspective with a specific focus on when the price of photovoltaic-generated electricity will be competitive with other generation methods.
Stanford University
http://www.stanford.edu
Stanford Graduate School of Business
http://gsb.stanford.edu/
Emmett Interdisciplinary Program in Environment and Resources
http://e-iper.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(November 4, 2009) Lyndon Rive, Founder and Chief Executive Officer of SolarCity, discusses the business model and future prospects of his rapidly growing company, which concentrates on installing affordable photovoltaic systems for residential customers using a unique financing model.
Stanford University
http://www.stanford.edu
SolarCity Photovoltaics
http://www.solarcity.com/
Woods Institute Energy Seminar
http://energyseminar.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(November 11, 2009) Michael McGehee, Professor and Director of the Center for Advanced Molecular Photovoltaics at Stanford, discusses the state-of-the-art in currently competing solar photovoltaic technologies, including the future prospects and potential problems involved with each.
Stanford University
http://www.stanford.edu
Center for Advanced Molecular Photovoltaics
http://camp.stanford.edu
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(November 18, 2009) John Benner, Manager of the National Renewable Energy Laboratory's Electronic Materials and Devices research group, discusses the factors and bottlenecks involved in scaling various photovoltaic technologies to national and international production scales.
Stanford University
http://www.stanford.edu
National Renewable Energy Laboratory
http://www.nrel.gov
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
Lecture Notes: http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
December 2, 2009 - Heidi Cullen, Director of Communications and Senior Research Scientist at Climate Central, discusses the current shifting state of the U.S. media landscape in relation to the issue of climate change, and emphasizes possible pathways for improving public understanding of environmental and climate science.
Stanford University
http://www.stanford.edu
Climate Central
http://www.climatecentral.org
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
January 6, 2010 - John Weyant, Professor of Management Science and Engineering at Stanford University, discusses global climate policy agreements in the context of the Copenhagen climate summit and explores what aspects of these agreements warrant modification or wholesale restructuring within the realm of realistic political feasibility.
Stanford University
http://www.stanford.edu
Stanford Energy Modeling Forum
http://emf.stanford.edu
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
January 13, 2010 - Efran Ibrahim, Technical Executive at the Electric Power Research Institute, engages the rapidly evolving discussion around the Smart Grid by separating core issues involved in system development and implementation from abundant hype and speculation, a perspective based on his experience with EPRI's seminal Intelligrid program.
Stanford University
http://www.stanford.edu
Electric Power Research Institute
http://www.epri.com
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(January 20, 2010) John Curtis, Professor of Geochemistry and Director of the Potential Gas Agency at the Colorado School of Mines, discusses a broad range of perspectives on the state of U.S. shale gas reserves and resources along with the industries and technologies that are involved in extracting and bringing these energy resources to market.
Stanford University
http://www.stanford.edu
Potential Gas Agency
http://www.ceri-mines.org/potentialgasagency.htm
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(January 27, 2010) Suedeen Kelly, former commissioner with the Federal Energy Regulatory Commission, discusses from a regulatory perspective the multi-layered complexities in reforming the large-scale electricity distribution infrastructure in the United States and provides suggestions for how to overcome the political and practical roadblocks to modernizing and extending the grid.
Stanford University
http://www.stanford.edu
Federal Energy Regulatory Commission
http://www.ferc.gov
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(February 3, 2010) Marija Ilic, Professor of Electrical and Computer Engineering at Carnegie Mellon University, discusses discusses applications of systems thinking and automation from computer engineering to the problem of sustainable electricity delivery services on a national grid level.
Stanford University
http://www.stanford.edu
Electrical and Computer Engineering at Carnegie Mellon
http://www.ece.cmu.edu
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(February 10, 2010) Bert Metz, former co-chair of the IPCC Working Group on Mitigation of Climate Change and advisor to the European Climate Foundation, discusses the implications of the poor results of the 2009 Copenhagen Summit along with his new book, Controlling Climate Change, which provides an unbiased and comprehensive overview of the latest findings of the IPCC.
Stanford University
http://www.stanford.edu
European Climate Foundation
http://www.europeanclimate.org
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(February 17, 2010) Chris Llewellyn Smith, Vice President of the Royal Society and Visiting Professor at Oxford, discusses the advantages of fusion power for meeting the future energy needs of a still growing and modernizing world population with special emphasis on the technical challenges of tokamak fusion facilities, in particular the ITER project.
Stanford University
http://www.stanford.edu
The ITER Project
http://www.iter.org
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(February 24, 2010) Stephen Schneider, Professor of Interdisciplinary Environmental Studies at Stanford, and Karim Farhat, graduate student in Energy Resources Engineering at Stanford, discuss their experiences attending the COP15 climate summit in Copenhagen as part of a delegation from Stanford that included 37 students.
Stanford University
http://www.stanford.edu
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(March 3, 2010) Reyad Fezzani, CEO of BP Solar, discusses recent technological and business advances made by Chinese engineers and companies in relation to the clean energy sector with a particular emphasis on the solar photovoltaic industry. He also explains how BP Solar is leveraging its relationships with Chinese partners to help advance the future of cleantech.
Stanford University
http://www.stanford.edu
BP Solar
http://www.bpsolar.us
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(March 31, 2010) Sherif Marakby, Director of Electrification Programs and Engineering at Ford Motor Company, discusses recent technological advances made by Ford in the realm of vehicle electrification, including hybrids, plug-in hybrids and full-battery electric vehicles, as well as Ford's strategy to make electrification a growing and sustainable part of its international vehicle fleet.
Stanford University
http://www.stanford.edu
Ford Electrification Fact Sheet
http://media.ford.com/images/1....0031/Electrification
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(April 7, 2010) Lee Schipper, Senior Research Engineer at Stanford's Precourt Energy Efficiency Center, leads a panel of guest speakers assembled from the automotive industry and academia (Tesla Motors, Honda, Toyota, Volkswagen, Pi Mobility, UC Berkeley) in a free-ranging discussion of current and future developments in consumer-scale alternative power transport, mainly focused on electric drive vehicles.
Stanford University
http://www.stanford.edu
Precourt Energy Efficiency Center
http://peec.stanford.edu
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(April 14, 2010) Tom Turrentine, Director of UC Davis's Plug-in Hybrid Electric Vehicle Research Center, discusses recent anthropological research on changes in consumer behavior in response to the recent rapidly growing and changing alternative-fuel vehicle market and how these responses may be shaped by perceptions of the social and political associations related to electric vehicles.
Stanford University
http://www.stanford.edu
UC Davis Plug-in Hybrid Electric Vehicle Research Center
http://phev.ucdavis.edu/
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(April 21, 2010) Tom Jaramillo, Assistant Professor of Chemical Engineering at Stanford, discusses technical advances in nano-materials that enable the direct production of hydrocarbon, alcohol, and hydrogen fuels from sunlight, water, and atmospheric CO2.
Stanford University
http://www.stanford.edu
Stanford Nanotechnology Engineering
http://soe.stanford.edu/research/nano.html
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(April 28, 2010) Margot Gerritsen, Associate Professor of Energy Resources Engineering at Stanford, discusses the recent upswing in the development of large-scale solar projects, with elaboration on fast-track projects, the political, economic and financial barriers to implementation, and utility integration along with several current case project examples.
Stanford University
http://www.stanford.edu
Stanford Energy Resources Engineering
http://pangea.stanford.edu/ERE/index.php
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(May 5, 2010) Burton Richter, Emeritus Director of the SLAC National Accelerator Laboratory, discusses the role of nuclear power in the future world energy portfolio and the United States in specific by framing the problems of proliferation, waste disposal, pollution, safety - including remarks on Chernobyl and Three-Mile Island - and the fundamental technological challenges of other alternative energy sources.
Stanford University
http://www.stanford.edu
SLAC National Accelerator Laboratory
http://slac.stanford.edu
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(May 12, 2010) Joe Paluska, Vice President of Communications for Better Place, an electric vehicle service company, discusses their recent efforts to establish highly serviceable fleets, including battery-switchable taxis, in tests markets in Japan and Denmark as well as to spur the development of the necessary and appropriate support infrastructures for city-wide electric vehicle use and global expansion to other markets.
Stanford University
http://www.stanford.edu
Better Place
http://www.betterplace.com/
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(May 18, 2010) Gregory Jaczko, Chairman of the U.S. Nuclear Regulatory Commission, provides an impartial overview of the current regulatory environment for the maintenance and construction of large-scale nuclear power facilities in the United States with historical perspectives on major disasters and the lessons learned for provision of safe, clean energy in the future.
Stanford University
http://www.stanford.edu
U.S. Nuclear Regulatory Commission
http://www.nrc.gov/
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(May 19, 2010) Johannes Lehmann, Associate Professor of soil biogeochemistry at Cornell University, discusses the characteristics of naturally occurring terra preta including its agricultural and carbon sequestering benefits and then turns to considering the factors involved with implementation industrial biochar systems for large-scale carbon sequestration and energy provision.
Stanford University
http://www.stanford.edu
Biogeochemistry at Cornell University
http://www.biogeo.cornell.edu/
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(June 2, 2010) Hal Harvey, Chief Executive of ClimateWorks, discusses the urgency of mitigating climate change as well as how to craft and implement approaches to the problem that achieve results, and the costs of delaying action.
Stanford University:
http://www.stanford.edu
ClimateWorks:
http://www.climateworks.org/
Stanford Energy Seminar:
http://energyseminar.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
September 29, 2010 - A broad panel of distinguished energy leaders - John Krenicki from GE Energy, Roy Johnson from Calisolar, Dick Swanson from SunPower, and Uma Chowdhry from DuPont, and led by journalist Andrew Revkin - discusses opportunities for businesses and countries to participate in the 'energy innovation ecosystem' needed to sustain the future of the energy sector. This panel takes place in conjunction with the 2010 Global Climate and Energy Project Symposium.
Stanford University
http://www.stanford.edu
Global Climate and Energy Project
http://gcep.stanford.edu
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
October 6, 2010 - The directors of the Precourt Institute for Energy - Lynn Orr (PIE), Zhi-Xun Shen (SIMES), Stacy Bent (TomKat Center), Jim Sweeney (PEEC), Frank Wolak (PESD) and Larry Goulder (SEEPAC) - discuss each of their respective sub-inititiative and projects and how they fit into the over mission of the Precourt Institute for Energy as well as addressing the current projects they are both engaged in and planning.
Stanford University
http://www.stanford.edu
Precourt Institute for Energy at Stanford
http://pie.stanford.edu
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
October 20, 2010 - Thomas Steyer, Co-managing parter at Farallon Capital Management, LLC and George P. Shultz, former US Secretary of State and chair of the Energy Policy Task Force, along with a selected panel of students discuss the issues behind Proposition 23 on the Nov 2 California ballot and why passage of this proposition would represent a huge step backward both for California and the nation at large.
Stanford University
http://www.stanford.edu
No on 23 Campaign
http://www.stopdirtyenergyprop.com/
Stanford Energy Seminar
http://energyseminar.stanford.edu
Stanford University Channel on YouTube
http://www.youtube.com/stanford
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Discussion Session
Lecturer: Juan Gómez Luna, Hasan Hassan, Minesh Patel (http://people.inf.ethz.ch/omutlu)
Date: June 1, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
"Big data as both a window and a mirror" -Dan Cosley, Cornell University
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
"Magical thinking: fear, wonder & technology" -Genevieve Bell, Intel
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
"Supporting Fast-Reponse Medical Teams through Interactive Information Displays" -Aleksandra Sarcevic of Drexel University
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
"Design Thinking Tools for the Individual, Group and Community" -Brian Bailey, UIUC
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
"Cumulative Innovation & Open Disclosure of Intermediate Results: Evidence from a Policy Experiment in Bioinformatics" -Karim Lakhani, Harvard
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
"Building Social (and Discussion) Software for the Anti-Social" -Jeff Atwood, StackOverflow / Discourse
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
"Beyond Flat Displays: Interactivity on Any Surface" -Hrvoje Benko, Microsoft Research
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
"Fieldwork: Digital Art as inquiry in the open studio" -Marc Downie, OpenEndedGroup
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
"Managing Personal Information with Private, Accountable Crowdsourcing" -Nicolas Kokkalis, Stanford University
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
"Design Mining the Web" -Ranjitha Kumar, Stanford University
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
"Dynamic Procedure Aids Support - Rapid Assimilation of Information" -Jesse Cirimele, Stanford University
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
"Beam Yourself Anywhere: The Research and Development of Remote Presence Technology" -Josh Tyler, Suitable Technologies
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
"Filling in the H in CHI" -Terry Winograd, Stanford University
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
"The Things I Wish I Knew - Lessons Learned from Making Data Product" -DJ Patil, Greylock Partners
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
"Medical Checklists, Crisis Attention and Interactive Cognitive Aids" -Leslie Wu, Stanford University
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 25b: Virtual Memory
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: May 31, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 25a: More Caches
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: May 31, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 24: Memory Hierarchy and Caches
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: May 25, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
"Data Mining Meets HCI: Making Sense of Large Graphs" -Polo Chau, Georgia Tech
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
"Crowds, networks, and data as catalysts for interactive systems" -Michael Berstein, Stanford University
This seminar series features dynahttps://ulearnme.com/edit-video/1329mic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 23a: Systolic Arrays and Beyond
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: May 24, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 22: GPU Programming
Lecturer: Juan Gómez Luna (http://people.inf.ethz.ch/omutlu)
Date: May 18, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 21: SIMD Processors II and Graphics Processing Units
Lecturer: Juan Gómez Luna (http://people.inf.ethz.ch/omutlu)
Date: May 17, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
"Representation Technologies" -Tapan Parikh, University of California, Berkeley
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 20: SIMD Processors
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: May 11, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
"Collaboration & Collective Action the next wave of social gaming" -Amy Jo Kim, Shufflebrain
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
"Living, Breathing Data" -Kim Rees, Periscopic
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 19: Branch Prediction II, VLIW, Fine-Grained Multithreading
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: May 4, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
"Exposure to Political Diversity Online" -Sean Munson, University of Washington
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 18: Branch Prediction
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: May 3, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
"Designing The Digital University: Telepresence, Ubiquity, and Mess" - Elizabeth Losh, University of California, San Diego.
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 17: Out-of-Order, DataFlow, Superscalar Execution
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: April 27, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 16: Out-of-Order Execution
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: April 26, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
"How Users Evaluate Things and Each Other in Social Media" - Jure Leskovec, Stanford University
This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.
Learn more: http://stanford.io/UdmdrX
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 15: Pipelining Issues
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: April 20, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 14: Pipelining
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: April 19, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 13: Microprogramming
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: April 13, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 12: Microarchitecture II
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: April 12, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 11: Microarchitecture
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: March 29, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Design of Digital Circuits - Lecture 10: ISA (II) and Assembly Programming (ETH Zürich, Spring 2018)
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 10: ISA (II) and Assembly Programming
Lecturer: Juan Gómez Luna (http://people.inf.ethz.ch/omutlu)
Date: March 23, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Design of Digital Circuits - Lecture 9: Von Neumann Model, ISA, LC-3, MIPS (ETH Zürich, Spring 2018)
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 9: Von Neumann Model, ISA, LC-3 and MIPS
Lecturer: Juan Gómez Luna (http://people.inf.ethz.ch/omutlu)
Date: March 22, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 8: Timing and Verification
Lecturer: Minesh Patel (http://people.inf.ethz.ch/omutlu)
Date: March 16, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 7: Sequential Logic Design
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: March 15, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 5: Combinational Logic
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: March 8, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 4: Mysteries in Comp Arch and Basics
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: March 2, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Design of Digital Circuits - Lecture 3: Introduction to the Labs and FPGAs (ETH Zürich, Spring 2018)
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 3: Introduction to the Labs and FPGAs
Lecturer: Hasan Hassan (http://people.inf.ethz.ch/omutlu)
Date: March 1, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 2: Mysteries in Comp Arch
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: February 23, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
(March 9, 2010) David Jacobs provides and introduction to OpenGL ES. Coordinate systems and tranformations, drawing geometry, textures, and other details.
Part of Stanford's Winter Quarter 2010 iPhone Application Development (CS193P) course.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(March 4, 2010) Josh Shaffer discusses unit testing, objective-c, and localization.
Part of Stanford's Winter Quarter 2010 iPhone Application Development (CS193P) course.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(March 2, 2010) Alan Cannistraro covers networking: automatic configuration in Bonjour, asynchronous communication in NSStream, and GameKit.
Part of Stanford's Winter Quarter 2010 iPhone Application Development (CS193P) course.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Cornell class CS4780.
Official class webpage: http://www.cs.cornell.edu/courses/cs4780/2018fa/
Written lecture notes: http://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/lecturenote02_kNN.html
(February 25, 2010) Alan Cannistraro talks about audio APIs; video playback and editing; and setting bundles.
Part of Stanford's Winter Quarter 2010 iPhone Application Development (CS193P) course.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
(February 23, 2010) Josh Shaffer covers hardware features and battery life and power consumption.
Part of Stanford's Winter Quarter 2010 iPhone Application Development (CS193P) course.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le
(February 18, 2010) Jason Beaver covers multi-touch events and gestures.
Part of Stanford's Winter Quarter 2010 iPhone Application Development (CS193P) course.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(February 11, 2010) Alan Cannistraro presents loading and navigating web content; location and maps.
Part of Stanford's Winter Quarter 2010 iPhone Application Development (CS193P) course.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(February 9, 2010) Josh Shaffer continues his lecture on threading. Brad Moore then introduces iPhone keyboards, customizing text input, and presenting content modally.
Part of Stanford's Winter Quarter 2010 iPhone Application Development (CS193P) course.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(February 2, 2010) Guest lecturer Chris Marcellino, an engineer at Apple, covers data in your iPhone app: saving and loading local data and accessing remote data over the internet.
Part of Stanford's Winter Quarter 2010 iPhone Application Development (CS193P) course.
Stanford
University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(January 28, 2010) Josh Shaffer explains scroll views; displaying data and controlling appearance and behavior in table views.
Part of Stanford's Winter Quarter 2010 iPhone Application Development (CS193P) course.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(January 26, 2010) Josh Shaffer explores navigation controllers and application data flow, customizing navigation, tab bar controllers, combining approaches.
Part of Stanford's Winter Quarter 2010 iPhone Application Development (CS193P) course.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(January 21, 2010) Alan Cannistraro discusses designing iPhone applications, why the MVC model should be used and how to implement it, and ends with view controllers.
Part of Stanford's Winter Quarter 2010 iPhone Application Development (CS193P) course.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(January 19, 2010) Josh Shaffer discusses views, drawing, text and images, and animation.
Part of Stanford's Winter Quarter 2010 iPhone Application Development (CS193P) course.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(January 14, 2010) Alan Cannistraro covers the application lifecycle, MVC design, Interface Builder and Nib files, control and target-action; and demonstrates HelloPoly.
Part of Stanford's Winter Quarter 2010 iPhone Application Development (CS193P) course.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(January 12, 2010) Alan Cannistraro covers creating custom classes, the object lifecycle, auto release, and properties in Objective-C.
Part of Stanford's Winter Quarter 2010 iPhone Application Development (CS193P) course.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(January 7, 2010) Josh Shaffer provides an introduction to programming in Objective-C and moves on to cover foundation frameworks.
Part of Stanford's Winter Quarter 2010 iPhone Application Development (CS193P) course.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(January 5, 2010) Alan Cannistraro starts the quarter with an introduction to Mac OS X, Cocoa Touch, and Objective-C.
Part of Stanford's Winter Quarter 2010 iPhone Application Development (CS193P) course.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(December 3, 2009) Leonard Susskind gives the tenth lecture of a three-quarter sequence of courses that will explore the new revolutions in particle physics. In this lecture he continues on the subject of quantum field theory, including, the diary equation and Higgs Particles.
Leonard Susskind, Felix Bloch Professor of Physics, received a PhD from Cornell University and has taught at Stanford since 1979. He has won both the Pregel Award from the New York Academy of Science and the J.J. Sakurai Prize in theoretical particle physics. He is also a member of the National Academy of Sciences.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(December 1, 2009) Leonard Susskind discusses the equations of motion of fields containing particles and quantum field theory, and shows how basic processes are coded by a Lagrangian.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(November 16, 2009) Leonard Susskind discusses the theory and mathematics of particle spin and half spin, the Dirac equation, and isotopic spin.
Leonard Susskind, Felix Bloch Professor of Physics, received a PhD from Cornell University and has taught at Stanford since 1979. He has won both the Pregel Award from the New York Academy of Science and the J.J. Sakurai Prize in theoretical particle physics. He is also a member of the National Academy of Sciences.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(November 13, 2009) Leonard Susskind discusses the theory and mathematics of angular momentum.
Leonard Susskind, Felix Bloch Professor of Physics, received a PhD from Cornell University and has taught at Stanford since 1979. He has won both the Pregel Award from the New York Academy of Science and the J.J. Sakurai Prize in theoretical particle physics. He is also a member of the National Academy of Sciences.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program
http://csp.stanford.edu/
(November 9, 2009) Leonard Susskind gives the sixth lecture of a three-quarter sequence of courses that will explore the new revolutions in particle physics. In this lecture he continues on the subject of quantum field theory, including, the diary equation and Higgs Particles.
Leonard Susskind, Felix Bloch Professor of Physics, received a PhD from Cornell University and has taught at Stanford since 1979. He has won both the Pregel Award from the New York Academy of Science and the J.J. Sakurai Prize in theoretical particle physics. He is also a member of the National Academy of Sciences.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(November 2, 2009) Leonard Susskind gives the fifth lecture of a three-quarter sequence of courses that will explore the new revolutions in particle physics. In this lecture he continues on the subject of quantum field theory, more specifically, energy conservation, waves and fermions.
Leonard Susskind, Felix Bloch Professor of Physics, received a PhD from Cornell University and has taught at Stanford since 1979. He has won both the Pregel Award from the New York Academy of Science and the J.J. Sakurai Prize in theoretical particle physics. He is also a member of the National Academy of Sciences.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(October 26, 2009) Leonard Susskind gives the fourth lecture of a three-quarter sequence of courses that will explore the new revolutions in particle physics. In this lecture he continues on the subject of quantum field theory.
Leonard Susskind, Felix Bloch Professor of Physics, received a PhD from Cornell University and has taught at Stanford since 1979. He has won both the Pregel Award from the New York Academy of Science and the J.J. Sakurai Prize in theoretical particle physics. He is also a member of the National Academy of Sciences.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(October 19, 2009) Leonard Susskind gives the third lecture of a three-quarter sequence of courses that will explore the new revolutions in particle physics. In this lecture he talks about what a quantum field is and how it is related to particles.
Leonard Susskind, Felix Bloch Professor of Physics, received a PhD from Cornell University and has taught at Stanford since 1979. He has won both the Pregel Award from the New York Academy of Science and the J.J. Sakurai Prize in theoretical particle physics. He is also a member of the National Academy of Sciences.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video
video
video
video
(October 12, 2009) Leonard Susskind gives the second lecture of a three-quarter sequence of courses that will explore the new revolutions in particle physics. In this lecture he explores quantum field theory.
Leonard Susskind, Felix Bloch Professor of Physics, received a PhD from Cornell University and has taught at Stanford since 1979. He has won both the Pregel Award from the New York Academy of Science and the J.J. Sakurai Prize in theoretical particle physics. He is also a member of the National Academy of Sciences.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video
(October 12, 2009) Leonard Susskind gives the first lecture of a three-quarter sequence of courses that will explore the new revolutions in particle physics. In this lecture he explores light, particles and quantum field theory.
Leonard Susskind, Felix Bloch Professor of Physics, received a PhD from Cornell University and has taught at Stanford since 1979. He has won both the Pregel Award from the New York Academy of Science and the J.J. Sakurai Prize in theoretical particle physics. He is also a member of the National Academy of Sciences.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video
video
video
video
video
video
video
video
I implement a circuit seen in lecture using Logicly and highlight some other features. See http://logic.ly/.
video
video
video
video
video
video
(March 15, 2010) Professor Leonard Susskind delivers the tenth lecture for the course New Revolutions in Particle Physics: The Standard Model.
This course is a continuation of the Fall quarter on particle physics. The material will focus on the Standard Model of particle physics, especially quantum chromodynamics (the theory of quarks) and the electroweak theory based on the existence of the Higgs boson. We will also explore the inadequacies of the Standard Model and why theorists are led to go beyond it.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University
http://www.stanford.edu/
Stanford Continuing Studies Program
http://csp.stanford.edu/
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(March 30, 2009) Leonard Susskind explains how the Higgs phenomenon interacts masses of quarks and leptons.
This course is a continuation of the Fall quarter on particle physics. The material will focus on the Standard Model of particle physics, especially quantum chromodynamics (the theory of quarks) and the electroweak theory based on the existence of the Higgs boson. We will also explore the inadequacies of the Standard Model and why theorists are led to go beyond it.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University
http://www.stanford.edu/
Continuing Studies at Stanford
http://continuingstudies.stanford.edu
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(March 30, 2009) Leonard Susskind explains the Higgs phenomena by discussing how spontaneous symmetry breaking induces a mass for the photon.
This course is a continuation of the Fall quarter on particle physics. The material will focus on the Standard Model of particle physics, especially quantum chromodynamics (the theory of quarks) and the electroweak theory based on the existence of the Higgs boson. We will also explore the inadequacies of the Standard Model and why theorists are led to go beyond it.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University
http://www.stanford.edu/
Continuing Studies at Stanford
http://continuingstudies.stanford.edu
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(February 22, 2010) Professor Leonard Susskind discusses spontaneous symmetry breaking and gauge invariance.
This course is a continuation of the Fall quarter on particle physics. The material will focus on the Standard Model of particle physics, especially quantum chromodynamics (the theory of quarks) and the electroweak theory based on the existence of the Higgs boson. We will also explore the inadequacies of the Standard Model and why theorists are led to go beyond it.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University
http://www.stanford.edu/
Continuing Studies at Stanford
http://continuingstudies.stanford.edu
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(February 15, 2010) Professor Leonard Susskind delivers the sixth lecture for the course New Revolutions in Particle Physics: The Standard Model.
This course is a continuation of the Fall quarter on particle physics. The material will focus on the Standard Model of particle physics, especially quantum chromodynamics (the theory of quarks) and the electroweak theory based on the existence of the Higgs boson. We will also explore the inadequacies of the Standard Model and why theorists are led to
go beyond it.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University
http://www.stanford.edu/
Stanford Continuing Studies Program
http://csp.stanford.edu/
Stanford University Channel on YouTube
http://www.youtube.com/stanford
video
(February 8, 2010) Professor Leonard Susskind discusses gauge theories.
This course is a continuation of the Fall quarter on particle physics. The material will focus on the Standard Model of particle physics, especially quantum chromodynamics (the theory of quarks) and the electroweak theory based on the existence of the Higgs boson. We will also explore the inadequacies of the Standard Model and why theorists are led to go beyond it.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University
http://www.stanford.edu/
Continuing Studies at Stanford
http://continuingstudies.stanford.edu
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video
video
(February 1, 2010) Professor Leonard Susskind continues his discussion of group theory.
This course is a continuation of the Fall quarter on particle physics. The material will focus on the Standard Model of particle physics, especially quantum chromodynamics (the theory of quarks) and the electroweak theory based on the existence of the Higgs boson. We will also explore the inadequacies of the Standard Model and why theorists are led to go beyond it.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University
http://www.stanford.edu/
Continuing Studies at Stanford
http://continuingstudies.stanford.edu
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video
(January 18, 2010) Professor Leonard Susskind discusses quantum chromodynamics, the theory of quarks, gluons, and hadrons.
This course is a continuation of the Fall quarter on particle physics. The material will focus on the Standard Model of particle physics, especially quantum chromodynamics (the theory of quarks) and the electroweak theory based on the existence of the Higgs boson. We will also explore the inadequacies of the Standard Model and why theorists are led to
go beyond it.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University
http://www.stanford.edu/
Stanford Continuing Studies Program
http://csp.stanford.edu/
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(January 11, 2010) Leonard Susskind, discusses the origin of covalent bonds, Coulomb's Law, and the names and properties of particles.
This course is a continuation of the Fall quarter
on particle physics. The material will focus on
the Standard Model of particle physics, especially
quantum chromodynamics (the theory of quarks) and
the electroweak theory based on the existence of the
Higgs boson. We will also explore the inadequacies
of the Standard Model and why theorists are led to
go beyond it.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
video
video
Additional practice with tracing function calls and keeping track of local and global variables. A good model for what you will need to do on problem 1 of Problem Set 2.
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(March 14, 2011) Leonard Susskind gives a lecture on string theory and particle physics that focuses on the mechanisms that make the universe hot.
In the last of course of this series, Leonard Susskind continues his exploration of string theory that attempts to reconcile quantum mechanics and general relativity. In particular, the course focuses on string theory with regard to important issues in contemporary physics.
This course was originally presented in Stanford's Continuing Studies program. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(March 7, 2011) Leonard Susskind gives a lecture on string theory and particle physics that dives into the idea of cosmic horizons as well as the relationship between ultraviolet and infrared light.
In the last of course of this series, Leonard Susskind continues his exploration of string theory that attempts to reconcile quantum mechanics and general relativity. In particular, the course focuses on string theory with regard to important issues in contemporary physics.
This course was originally presented in Stanford's Continuing Studies program. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(February 28, 2011) Leonard Susskind gives a lecture on string theory and particle physics that continues the theory behind calculating the entropy of a black hole.
In the last of course of this series, Leonard Susskind continues his exploration of string theory that attempts to reconcile quantum mechanics and general relativity. In particular, the course focuses on string theory with regard to important issues in contemporary physics.
This course was originally presented in Stanford's Continuing Studies program. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(February 14, 2011) Leonard Susskind gives a lecture on string theory and particle physics that focuses on how string theory gives a resolution to the question regarding the entropy in a black hole.
In the last of course of this series, Leonard Susskind continues his exploration of string theory that attempts to reconcile quantum mechanics and general relativity. In particular, the course focuses on string theory with regard to important issues in contemporary physics.
This course was originally presented in Stanford's Continuing Studies program. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(February 7, 2011) Leonard Susskind gives a lecture on string theory and particle physics that focuses again on black holes and how light behaves around a black hole. He uses his own theories to mathematically explain the behavior of a black hole and the area around it.
In the last of course of this series, Leonard Susskind continues his exploration of string theory that attempts to reconcile quantum mechanics and general relativity. In particular, the course focuses on string theory with regard to important issues in contemporary physics.
This course was originally presented in Stanford's Continuing Studies program. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
video lecture
(January 31, 2011) Leonard Susskind gives a lecture on string theory and particle physics that focuses on the geometry of a black hole near the horizon. He describes how standard concepts from quantum physics can explain the physics that occur at this point.
In the last of course of this series, Leonard Susskind continues his exploration of string theory that attempts to reconcile quantum mechanics and general relativity. In particular, the course focuses on string theory with regard to important issues in contemporary physics.
This course was originally presented in Stanford's Continuing Studies program. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
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(January 24, 2011) Leonard Susskind uses the most complex math that will be used in the course with the hopes that it will give a better idea of how a black whole works mathematically.
In the last of course of this series, Leonard Susskind continues his exploration of string theory that attempts to reconcile quantum mechanics and general relativity. In particular, the course focuses on string theory with regard to important issues in contemporary physics.
This course was originally presented in Stanford's Continuing Studies program. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
(January 17, 2011) Leonard Susskind describes the special theory of relativity and focuses on showing how it connects to string theory. He considers concepts such as space-time and some of Einstein's original concepts.
In the last of course of this series, Leonard Susskind continues his exploration of string theory that attempts to reconcile quantum mechanics and general relativity. In particular, the course focuses on string theory with regard to important issues in contemporary physics.
This course was originally presented in Stanford's Continuing Studies program. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
video lecture
(January 10, 2011) Leonard Susskind gives a lecture on the string theory and particle physics. In this lecture, he begins by describing the theory of reductionism and then goes on to tell why string theory and other modern theories spell the end of reductionism.
In the last of course of this series, Leonard Susskind continues his exploration of string theory that attempts to reconcile quantum mechanics and general relativity. In particular, the course focuses on string theory with regard to important issues in contemporary physics.
This course was originally presented in Stanford's Continuing Studies program. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
video lecture
video lecture
(March 19, 2012) Leonard Susskind concludes the course by wrapping up the major concepts that were covered throughout the quarter and discussing some of the limits of the field of quantum physics.
In this course world renowned physicist, Leonard Susskind, dives into the fundamentals of classical mechanics and quantum physics. He discovers the link between the two branches of physics and ultimately shows how quantum mechanics grew out of the classical structure.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies:
http://continuingstudies.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
(March 12, 2012) Leonard Susskind diverges from looking at the theory behind quantum mechanics and shifts the focus toward looking at more tangible examples.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies:
http://continuingstudies.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
Help us caption and translate this video on Amara.org: http://www.amara.org/en/v/mQo/
(February 27, 2012) Leonard Susskind spends some time in the beginning of the lecture discussing some of the basic qualities of systems to lay a foundation for the rest of the lecture and the class.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies:
http://continuingstudies.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(February 20, 2012) Leonard Susskind continues to discuss entanglement and what the concept can tell us about the nature of systems and the nature of reality.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies:
http://continuingstudies.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
video lecture
(February 13, 2012) Leonard Susskind starts the class by answering a question that arose in the last lecture about photons and the energy at different states and then continues with the topic of entanglement.
video lecture
video lecture
video lecture
(February 6, 2012) Leonard Susskind discusses an array of topics including uncertainty, the Schroedinger equation, and how things evolve with time.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies:
http://continuingstudies.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
video lecture
video lecture
January 30, 2012 - In this course, world renowned physicist, Leonard Susskind, dives into the fundamentals of classical mechanics and quantum physics. He discovers the link between the two branches of physics and ultimately shows how quantum mechanics grew out of the classical structure. In this lecture, he continues his discussion on the vectors and operators that define the language of quantum physics.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies:
http://continuingstudies.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
January 23, 2012 - In this course, world renowned physicist, Leonard Susskind, dives into the fundamentals of classical mechanics and quantum physics. He discovers the link between the two branches of physics and ultimately shows how quantum mechanics grew out of the classical structure. In this lecture, he works through some of the mathematics behind vectors and operators as used in physics.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies:
http://continuingstudies.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
79-80, mean and standard deviation
January 16, 2012 - In this course, world renowned physicist, Leonard Susskind, dives into the fundamentals of classical mechanics and quantum physics. He discovers the link between the two branches of physics and ultimately shows how quantum mechanics grew out of the classical structure. In this lecture, he discusses some of the basic logic in quantum mechanics and then moves into some more mathematical concepts.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies:
http://continuingstudies.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(January 9, 2012) Leonard Susskind provides an introduction to quantum mechanics.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies:
http://continuingstudies.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
70-75, functions and probability
67-69, binomial expansions and the sum of a geometric series
65 (done another way) - 66, combinatorics and binomial expansions
60-65, functions, combinations, probability
53-59, Logarithms and functions
49-52, logarithms, exponential growth and decay
43-48, circles, logarithms, exponents
Parabola, Hyperbolas, etc.
Watch the next lesson: https://www.khanacademy.org/math/algebra2/conics_precalc/jee_hyperbolas/v/tangent-line-hyperbola-relationship-very-optional?utm_source=YT&utm_medium=Desc&utm_campaign=AlgebraII
Missed the previous lesson?
https://www.khanacademy.org/math/algebra2/conics_precalc/conics_precalc_eqs/v/conic-identification-3?utm_source=YT&utm_medium=Desc&utm_campaign=AlgebraII
Algebra II on Khan Academy: Your studies in algebra 1 have built a solid foundation from which you can explore linear equations, inequalities, and functions. In algebra 2 we build upon that foundation and not only extend our knowledge of algebra 1, but slowly become capable of tackling the BIG questions of the universe. We'll again touch on systems of equations, inequalities, and functions...but we'll also address exponential and logarithmic functions, logarithms, imaginary and complex numbers, conic sections, and matrices. Don't let these big words intimidate you. We're on this journey with you!
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Algebra II channel:
https://www.youtube.com/channe....l/UCsCA3_VozRtgUT7wW
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
36-38, shifting quadratic graphs and finding x-intercepts (roots)
Watch the next lesson: https://www.khanacademy.org/math/algebra/quadratics/quadratic_odds_ends/v/ca-algebra-i-completing-the-square?utm_source=YT&utm_medium=Desc&utm_campaign=AlgebraI
Missed the previous lesson?
https://www.khanacademy.org/math/algebra/quadratics/quadratic_odds_ends/v/algebra-ii-quadratics-and-shifts?utm_source=YT&utm_medium=Desc&utm_campaign=AlgebraI
Algebra I on Khan Academy: Algebra is the language through which we describe patterns. Think of it as a shorthand, of sorts. As opposed to having to do something over and over again, algebra gives you a simple way to express that repetitive process. It's also seen as a "gatekeeper" subject. Once you achieve an understanding of algebra, the higher-level math subjects become accessible to you. Without it, it's impossible to move forward. It's used by people with lots of different jobs, like carpentry, engineering, and fashion design. In these tutorials, we'll cover a lot of ground. Some of the topics include linear equations, linear inequalities, linear functions, systems of equations, factoring expressions, quadratic expressions, exponents, functions, and ratios.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Algebra channel:
https://www.youtube.com/channe....l/UCYZrCV8PNENpJt36V
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
32-35, Solving quadratics and graph shifts
Watch the next lesson: https://www.khanacademy.org/math/algebra/quadratics/quadratic_odds_ends/v/algebra-ii-shifting-quadratic-graphs?utm_source=YT&utm_medium=Desc&utm_campaign=AlgebraI
Missed the previous lesson?
https://www.khanacademy.org/math/algebra/quadratics/quadratic_odds_ends/v/ca-algebra-i-factoring-quadratics?utm_source=YT&utm_medium=Desc&utm_campaign=AlgebraI
Algebra I on Khan Academy: Algebra is the language through which we describe patterns. Think of it as a shorthand, of sorts. As opposed to having to do something over and over again, algebra gives you a simple way to express that repetitive process. It's also seen as a "gatekeeper" subject. Once you achieve an understanding of algebra, the higher-level math subjects become accessible to you. Without it, it's impossible to move forward. It's used by people with lots of different jobs, like carpentry, engineering, and fashion design. In these tutorials, we'll cover a lot of ground. Some of the topics include linear equations, linear inequalities, linear functions, systems of equations, factoring expressions, quadratic expressions, exponents, functions, and ratios.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Algebra channel:
https://www.youtube.com/channe....l/UCYZrCV8PNENpJt36V
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
27-31, complex numbers and conjugates
video lecture
21-26, mostly imaginary and complex numbers
Watch the next lesson: https://www.khanacademy.org/math/algebra2/conics_precalc/conic_section_intro/v/introduction-to-conic-sections?utm_source=YT&utm_medium=Desc&utm_campaign=AlgebraII
Missed the previous lesson?
https://www.khanacademy.org/math/algebra2/complex-numbers-a2/complex_numbers/v/complex-roots-from-the-quadratic-formula?utm_source=YT&utm_medium=Desc&utm_campaign=AlgebraII
Algebra II on Khan Academy: Your studies in algebra 1 have built a solid foundation from which you can explore linear equations, inequalities, and functions. In algebra 2 we build upon that foundation and not only extend our knowledge of algebra 1, but slowly become capable of tackling the BIG questions of the universe. We'll again touch on systems of equations, inequalities, and functions...but we'll also address exponential and logarithmic functions, logarithms, imaginary and complex numbers, conic sections, and matrices. Don't let these big words intimidate you. We're on this journey with you!
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Algebra II channel:
https://www.youtube.com/channe....l/UCsCA3_VozRtgUT7wW
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
17-22, simplifying polynomials and algebraic expressions
13-16 (polynomial factoring and multiplication)
9-12 (algebraic division and multiplication)
video lecture
video lecture
video lecture
6-8 (understanding and graphing inequalities)
1-5, absolute value equations and systems of equations
76-80, secants and graph translations
71-75, area, chords, tangents of circles
This is the last video in our geometry subject! Now move on to our first video in algebra II: https://www.khanacademy.org/math/algebra2/systems_eq_ineq/systems_tutorial_precalc/v/trolls-tolls-and-systems-of-equations?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Missed the previous lesson?
https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-more-trig?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Geometry on Khan Academy: We are surrounded by space. And that space contains lots of things. And these things have shapes. In geometry we are concerned with the nature of these shapes, how we define them, and what they teach us about the world at large--from math to architecture to biology to astronomy (and everything in between). Learning geometry is about more than just taking your medicine ("It's good for you!"), it's at the core of everything that exists--including you. Having said all that, some of the specific topics we'll cover include angles, intersecting lines, right triangles, perimeter, area, volume, circles, triangles, quadrilaterals, analytic geometry, and geometric constructions. Wow. That's a lot. To summarize: it's difficult to imagine any area of math that is more widely used than geometry.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Geometry channel:
https://www.youtube.com/channe....l/UCD3OtKxPRUFw8kzYl
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
66-70, more trigonometry
Watch the next lesson: https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-circle-area-chords-tangent?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Missed the previous lesson?
https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-basic-trigonometry?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Geometry on Khan Academy: We are surrounded by space. And that space contains lots of things. And these things have shapes. In geometry we are concerned with the nature of these shapes, how we define them, and what they teach us about the world at large--from math to architecture to biology to astronomy (and everything in between). Learning geometry is about more than just taking your medicine ("It's good for you!"), it's at the core of everything that exists--including you. Having said all that, some of the specific topics we'll cover include angles, intersecting lines, right triangles, perimeter, area, volume, circles, triangles, quadrilaterals, analytic geometry, and geometric constructions. Wow. That's a lot. To summarize: it's difficult to imagine any area of math that is more widely used than geometry.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Geometry channel:
https://www.youtube.com/channe....l/UCD3OtKxPRUFw8kzYl
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
61-65, basic trigonometry
Watch the next lesson: https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-more-trig?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Missed the previous lesson?
https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-compass-construction?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Geometry on Khan Academy: We are surrounded by space. And that space contains lots of things. And these things have shapes. In geometry we are concerned with the nature of these shapes, how we define them, and what they teach us about the world at large--from math to architecture to biology to astronomy (and everything in between). Learning geometry is about more than just taking your medicine ("It's good for you!"), it's at the core of everything that exists--including you. Having said all that, some of the specific topics we'll cover include angles, intersecting lines, right triangles, perimeter, area, volume, circles, triangles, quadrilaterals, analytic geometry, and geometric constructions. Wow. That's a lot. To summarize: it's difficult to imagine any area of math that is more widely used than geometry.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Geometry channel:
https://www.youtube.com/channe....l/UCD3OtKxPRUFw8kzYl
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
56-60, compass construction, coordinates
Practice this lesson yourself on KhanAcademy.org right now:
https://www.khanacademy.org/math/geometry/geometry-worked-examples/e/constructions_1?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Watch the next lesson: https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-basic-trigonometry?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Missed the previous lesson?
https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-pythagorean-theorem-compass-constructions?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Geometry on Khan Academy: We are surrounded by space. And that space contains lots of things. And these things have shapes. In geometry we are concerned with the nature of these shapes, how we define them, and what they teach us about the world at large--from math to architecture to biology to astronomy (and everything in between). Learning geometry is about more than just taking your medicine ("It's good for you!"), it's at the core of everything that exists--including you. Having said all that, some of the specific topics we'll cover include angles, intersecting lines, right triangles, perimeter, area, volume, circles, triangles, quadrilaterals, analytic geometry, and geometric constructions. Wow. That's a lot. To summarize: it's difficult to imagine any area of math that is more widely used than geometry.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Geometry channel:
https://www.youtube.com/channe....l/UCD3OtKxPRUFw8kzYl
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
51-55, Pythagorean Theorem, compass constructions
Watch the next lesson: https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-compass-construction?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Missed the previous lesson?
https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-deducing-angle-measures?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Geometry on Khan Academy: We are surrounded by space. And that space contains lots of things. And these things have shapes. In geometry we are concerned with the nature of these shapes, how we define them, and what they teach us about the world at large--from math to architecture to biology to astronomy (and everything in between). Learning geometry is about more than just taking your medicine ("It's good for you!"), it's at the core of everything that exists--including you. Having said all that, some of the specific topics we'll cover include angles, intersecting lines, right triangles, perimeter, area, volume, circles, triangles, quadrilaterals, analytic geometry, and geometric constructions. Wow. That's a lot. To summarize: it's difficult to imagine any area of math that is more widely used than geometry.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Geometry channel:
https://www.youtube.com/channe....l/UCD3OtKxPRUFw8kzYl
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
46-50, deducing the measure of angles
Watch the next lesson: https://www.khanacademy.org/math/geometry/parallel-and-perpendicular-lines/ang_intro/v/showing-angles-have-same-measure?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Missed the previous lesson?
https://www.khanacademy.org/math/geometry/parallel-and-perpendicular-lines/ang_intro/v/using-algebra-to-find-measures-of-angles-formed-from-transversal?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Geometry on Khan Academy: We are surrounded by space. And that space contains lots of things. And these things have shapes. In geometry we are concerned with the nature of these shapes, how we define them, and what they teach us about the world at large--from math to architecture to biology to astronomy (and everything in between). Learning geometry is about more than just taking your medicine ("It's good for you!"), it's at the core of everything that exists--including you. Having said all that, some of the specific topics we'll cover include angles, intersecting lines, right triangles, perimeter, area, volume, circles, triangles, quadrilaterals, analytic geometry, and geometric constructions. Wow. That's a lot. To summarize: it's difficult to imagine any area of math that is more widely used than geometry.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Geometry channel:
https://www.youtube.com/channe....l/UCD3OtKxPRUFw8kzYl
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
41-45, polygons, exterior angles
Watch the next lesson: https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-deducing-angle-measures?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Missed the previous lesson?
https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-pythagorean-theorem-area?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Geometry on Khan Academy: We are surrounded by space. And that space contains lots of things. And these things have shapes. In geometry we are concerned with the nature of these shapes, how we define them, and what they teach us about the world at large--from math to architecture to biology to astronomy (and everything in between). Learning geometry is about more than just taking your medicine ("It's good for you!"), it's at the core of everything that exists--including you. Having said all that, some of the specific topics we'll cover include angles, intersecting lines, right triangles, perimeter, area, volume, circles, triangles, quadrilaterals, analytic geometry, and geometric constructions. Wow. That's a lot. To summarize: it's difficult to imagine any area of math that is more widely used than geometry.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Geometry channel:
https://www.youtube.com/channe....l/UCD3OtKxPRUFw8kzYl
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
36-40, Pythagorean Theorem and Area
Watch the next lesson: https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-exterior-angles?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Missed the previous lesson?
https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-area-circumference-volume?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Geometry on Khan Academy: We are surrounded by space. And that space contains lots of things. And these things have shapes. In geometry we are concerned with the nature of these shapes, how we define them, and what they teach us about the world at large--from math to architecture to biology to astronomy (and everything in between). Learning geometry is about more than just taking your medicine ("It's good for you!"), it's at the core of everything that exists--including you. Having said all that, some of the specific topics we'll cover include angles, intersecting lines, right triangles, perimeter, area, volume, circles, triangles, quadrilaterals, analytic geometry, and geometric constructions. Wow. That's a lot. To summarize: it's difficult to imagine any area of math that is more widely used than geometry.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Geometry channel:
https://www.youtube.com/channe....l/UCD3OtKxPRUFw8kzYl
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
31-35, area, circumference and volume
Watch the next lesson: https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-pythagorean-theorem-area?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Missed the previous lesson?
https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-area-pythagorean-theorem?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Geometry on Khan Academy: We are surrounded by space. And that space contains lots of things. And these things have shapes. In geometry we are concerned with the nature of these shapes, how we define them, and what they teach us about the world at large--from math to architecture to biology to astronomy (and everything in between). Learning geometry is about more than just taking your medicine ("It's good for you!"), it's at the core of everything that exists--including you. Having said all that, some of the specific topics we'll cover include angles, intersecting lines, right triangles, perimeter, area, volume, circles, triangles, quadrilaterals, analytic geometry, and geometric constructions. Wow. That's a lot. To summarize: it's difficult to imagine any area of math that is more widely used than geometry.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Geometry channel:
https://www.youtube.com/channe....l/UCD3OtKxPRUFw8kzYl
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
26-30, area, circumference, pythagorean theorem
Watch the next lesson: https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-area-circumference-volume?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Missed the previous lesson?
https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-triangles-and-parallelograms?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Geometry on Khan Academy: We are surrounded by space. And that space contains lots of things. And these things have shapes. In geometry we are concerned with the nature of these shapes, how we define them, and what they teach us about the world at large--from math to architecture to biology to astronomy (and everything in between). Learning geometry is about more than just taking your medicine ("It's good for you!"), it's at the core of everything that exists--including you. Having said all that, some of the specific topics we'll cover include angles, intersecting lines, right triangles, perimeter, area, volume, circles, triangles, quadrilaterals, analytic geometry, and geometric constructions. Wow. That's a lot. To summarize: it's difficult to imagine any area of math that is more widely used than geometry.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Geometry channel:
https://www.youtube.com/channe....l/UCD3OtKxPRUFw8kzYl
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
21-25, triangles and parallelograms
Watch the next lesson: https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-area-pythagorean-theorem?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Missed the previous lesson?
https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-more-on-congruent-and-similar-triangles?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Geometry on Khan Academy: We are surrounded by space. And that space contains lots of things. And these things have shapes. In geometry we are concerned with the nature of these shapes, how we define them, and what they teach us about the world at large--from math to architecture to biology to astronomy (and everything in between). Learning geometry is about more than just taking your medicine ("It's good for you!"), it's at the core of everything that exists--including you. Having said all that, some of the specific topics we'll cover include angles, intersecting lines, right triangles, perimeter, area, volume, circles, triangles, quadrilaterals, analytic geometry, and geometric constructions. Wow. That's a lot. To summarize: it's difficult to imagine any area of math that is more widely used than geometry.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Geometry channel:
https://www.youtube.com/channe....l/UCD3OtKxPRUFw8kzYl
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
video lecture
17-20, more similar and congruent triangles
Watch the next lesson: https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-triangles-and-parallelograms?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Missed the previous lesson?
https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-similar-triangles-1?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Geometry on Khan Academy: We are surrounded by space. And that space contains lots of things. And these things have shapes. In geometry we are concerned with the nature of these shapes, how we define them, and what they teach us about the world at large--from math to architecture to biology to astronomy (and everything in between). Learning geometry is about more than just taking your medicine ("It's good for you!"), it's at the core of everything that exists--including you. Having said all that, some of the specific topics we'll cover include angles, intersecting lines, right triangles, perimeter, area, volume, circles, triangles, quadrilaterals, analytic geometry, and geometric constructions. Wow. That's a lot. To summarize: it's difficult to imagine any area of math that is more widely used than geometry.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Geometry channel:
https://www.youtube.com/channe....l/UCD3OtKxPRUFw8kzYl
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
10-14, similar triangles
Watch the next lesson: https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-more-on-congruent-and-similar-triangles?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Missed the previous lesson?
https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-more-proofs?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Geometry on Khan Academy: We are surrounded by space. And that space contains lots of things. And these things have shapes. In geometry we are concerned with the nature of these shapes, how we define them, and what they teach us about the world at large--from math to architecture to biology to astronomy (and everything in between). Learning geometry is about more than just taking your medicine ("It's good for you!"), it's at the core of everything that exists--including you. Having said all that, some of the specific topics we'll cover include angles, intersecting lines, right triangles, perimeter, area, volume, circles, triangles, quadrilaterals, analytic geometry, and geometric constructions. Wow. That's a lot. To summarize: it's difficult to imagine any area of math that is more widely used than geometry.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Geometry channel:
https://www.youtube.com/channe....l/UCD3OtKxPRUFw8kzYl
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
7-10, more proofs (10 continued in next video)
Watch the next lesson: https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-similar-triangles-1?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Missed the previous lesson?
https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-proof-by-contradiction?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Geometry on Khan Academy: We are surrounded by space. And that space contains lots of things. And these things have shapes. In geometry we are concerned with the nature of these shapes, how we define them, and what they teach us about the world at large--from math to architecture to biology to astronomy (and everything in between). Learning geometry is about more than just taking your medicine ("It's good for you!"), it's at the core of everything that exists--including you. Having said all that, some of the specific topics we'll cover include angles, intersecting lines, right triangles, perimeter, area, volume, circles, triangles, quadrilaterals, analytic geometry, and geometric constructions. Wow. That's a lot. To summarize: it's difficult to imagine any area of math that is more widely used than geometry.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Geometry channel:
https://www.youtube.com/channe....l/UCD3OtKxPRUFw8kzYl
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
video lecture
4-6, proof by contradiction
Watch the next lesson: https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-more-proofs?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Missed the previous lesson?
https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-deductive-reasoning?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Geometry on Khan Academy: We are surrounded by space. And that space contains lots of things. And these things have shapes. In geometry we are concerned with the nature of these shapes, how we define them, and what they teach us about the world at large--from math to architecture to biology to astronomy (and everything in between). Learning geometry is about more than just taking your medicine ("It's good for you!"), it's at the core of everything that exists--including you. Having said all that, some of the specific topics we'll cover include angles, intersecting lines, right triangles, perimeter, area, volume, circles, triangles, quadrilaterals, analytic geometry, and geometric constructions. Wow. That's a lot. To summarize: it's difficult to imagine any area of math that is more widely used than geometry.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Geometry channel:
https://www.youtube.com/channe....l/UCD3OtKxPRUFw8kzYl
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
video lecture
1-3, deductive reasoning and congruent angles
Watch the next lesson: https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/ca-geometry-proof-by-contradiction?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Missed the previous lesson?
https://www.khanacademy.org/math/geometry/geometry-worked-examples/v/challenging-perimeter-problem?utm_source=YT&utm_medium=Desc&utm_campaign=Geometry
Geometry on Khan Academy: We are surrounded by space. And that space contains lots of things. And these things have shapes. In geometry we are concerned with the nature of these shapes, how we define them, and what they teach us about the world at large--from math to architecture to biology to astronomy (and everything in between). Learning geometry is about more than just taking your medicine ("It's good for you!"), it's at the core of everything that exists--including you. Having said all that, some of the specific topics we'll cover include angles, intersecting lines, right triangles, perimeter, area, volume, circles, triangles, quadrilaterals, analytic geometry, and geometric constructions. Wow. That's a lot. To summarize: it's difficult to imagine any area of math that is more widely used than geometry.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Geometry channel:
https://www.youtube.com/channe....l/UCD3OtKxPRUFw8kzYl
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
79-80, functions, domain and range
(November 30, 2010) Professor Leonard Susskind continues his discussion on T-Duality; explains the theory of D-Branes; models QFT and QCD; and introduces the application of electromagnetism.
String theory (with its close relative, M-theory) is the basis for the most ambitious theories of the physical world. It has profoundly influenced our understanding of gravity, cosmology, and particle physics. In this course we will develop the basic theoretical and mathematical ideas, including the string-theoretic origin of gravity, the theory of extra dimensions of space, the connection between strings and black holes, the "landscape" of string theory, and the holographic principle.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(November 23, 2010) Leonard Susskind gives a lecture on the constraints of string theory and gives a few examples that show how these work.
String theory (with its close relative, M-theory) is the basis for the most ambitious theories of the physical world. It has profoundly influenced our understanding of gravity, cosmology, and particle physics. In this course we will develop the basic theoretical and mathematical ideas, including the string-theoretic origin of gravity, the theory of extra dimensions of space, the connection between strings and black holes, the "landscape" of string theory, and the holographic principle.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
75-78, word problems and functions
71-74, word problems
(November 8, 2010) Professor Leonard Susskind covers the history of path/surface integrals; conformal mapping; application of conformal mapping in string scattering.
String theory (with its close relative, M-theory) is the basis for the most ambitious theories of the physical world. It has profoundly influenced our understanding of gravity, cosmology, and particle physics. In this course we will develop the basic theoretical and mathematical ideas, including the string-theoretic origin of gravity, the theory of extra dimensions of space, the connection between strings and black holes, the "landscape" of string theory, and the holographic principle.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
66-70, more simplifying of rational expressions
video lecture
(November 1, 2010) Leonard Susskind discusses the specifics of strings including Feynman diagrams and mapping particles.
String theory (with its close relative, M-theory) is the basis for the most ambitious theories of the physical world. It has profoundly influenced our understanding of gravity, cosmology, and particle physics. In this course we will develop the basic theoretical and mathematical ideas, including the string-theoretic origin of gravity, the theory of extra dimensions of space, the connection between strings and black holes, the "landscape" of string theory, and the holographic principle.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
63-65, simplifying rational expressions
(October 25, 2010) Leonard Susskind focuses on the different dimensions of string theory and the effect it has on the theory.
String theory (with its close relative, M-theory) is the basis for the most ambitious theories of the physical world. It has profoundly influenced our understanding of gravity, cosmology, and particle physics. In this course we will develop the basic theoretical and mathematical ideas, including the string-theoretic origin of gravity, the theory of extra dimensions of space, the connection between strings and black holes, the "landscape" of string theory, and the holographic principle.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
58-62, x-intercepts of a quadratic function
Watch the next lesson: https://www.khanacademy.org/math/algebra/exponent-equations/alg-integer-exponents/v/introduction-to-negative-exponents?utm_source=YT&utm_medium=Desc&utm_campaign=AlgebraI
Missed the previous lesson?
https://www.khanacademy.org/math/algebra/quadratics/quadratic_odds_ends/v/ca-algebra-i-quadratic-equation?utm_source=YT&utm_medium=Desc&utm_campaign=AlgebraI
Algebra I on Khan Academy: Algebra is the language through which we describe patterns. Think of it as a shorthand, of sorts. As opposed to having to do something over and over again, algebra gives you a simple way to express that repetitive process. It's also seen as a "gatekeeper" subject. Once you achieve an understanding of algebra, the higher-level math subjects become accessible to you. Without it, it's impossible to move forward. It's used by people with lots of different jobs, like carpentry, engineering, and fashion design. In these tutorials, we'll cover a lot of ground. Some of the topics include linear equations, linear inequalities, linear functions, systems of equations, factoring expressions, quadratic expressions, exponents, functions, and ratios.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Algebra channel:
https://www.youtube.com/channe....l/UCYZrCV8PNENpJt36V
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
(October 18, 2010) Professor Leonard Susskind delivers a lecture concerning plonck variables and how they relate to string theory in the context of modern physics.
String theory (with its close relative, M-theory) is the basis for the most ambitious theories of the physical world. It has profoundly influenced our understanding of gravity, cosmology, and particle physics. In this course we will develop the basic theoretical and mathematical ideas, including the string-theoretic origin of gravity, the theory of extra dimensions of space, the connection between strings and black holes, the "landscape" of string theory, and the holographic principle.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
53-57, Quadratic Equation
Watch the next lesson: https://www.khanacademy.org/math/algebra/quadratics/quadratic_odds_ends/v/ca-algebra-i-quadratic-roots?utm_source=YT&utm_medium=Desc&utm_campaign=AlgebraI
Missed the previous lesson?
https://www.khanacademy.org/math/algebra/quadratics/quadratic_odds_ends/v/quadratic-formula-proof?utm_source=YT&utm_medium=Desc&utm_campaign=AlgebraI
Algebra I on Khan Academy: Algebra is the language through which we describe patterns. Think of it as a shorthand, of sorts. As opposed to having to do something over and over again, algebra gives you a simple way to express that repetitive process. It's also seen as a "gatekeeper" subject. Once you achieve an understanding of algebra, the higher-level math subjects become accessible to you. Without it, it's impossible to move forward. It's used by people with lots of different jobs, like carpentry, engineering, and fashion design. In these tutorials, we'll cover a lot of ground. Some of the topics include linear equations, linear inequalities, linear functions, systems of equations, factoring expressions, quadratic expressions, exponents, functions, and ratios.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Algebra channel:
https://www.youtube.com/channe....l/UCYZrCV8PNENpJt36V
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
(October 11, 2010) Leonard Susskind gives a lecture on the string theory and particle physics. During this lecture he focuses on closed string theory as opposed to open string theory.
String theory (with its close relative, M-theory) is the basis for the most ambitious theories of the physical world. It has profoundly influenced our understanding of gravity, cosmology, and particle physics. In this course we will develop the basic theoretical and mathematical ideas, including the string-theoretic origin of gravity, the theory of extra dimensions of space, the connection between strings and black holes, the "landscape" of string theory, and the holographic principle.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(October 4, 2010) Professor Leonard Susskind reviews harmonic oscillators, the spin of massless particles (photons and gravitons), the low lying spectrum of strings, the tachyon problem, and the basics of string interactions.
String theory (with its close relative, M-theory) is the basis for the most ambitious theories of the physical world. It has profoundly influenced our understanding of gravity, cosmology, and particle physics. In this course we will develop the basic theoretical and mathematical ideas, including the string-theoretic origin of gravity, the theory of extra dimensions of space, the connection between strings and black holes, the "landscape" of string theory, and the holographic principle.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Artificial Neural Networks (ANNs) were pioneered in 1940s, received a lot of hype in the 1950s, were re-discovered in the 1980s with the Backpropagation algorithm, and are now transforming the field of Machine Learning
48-52, completing the square
Watch the next lesson: https://www.khanacademy.org/math/algebra/quadratics/quadratic_odds_ends/v/introduction-to-the-quadratic-equation?utm_source=YT&utm_medium=Desc&utm_campaign=AlgebraI
Missed the previous lesson?
https://www.khanacademy.org/math/algebra/quadratics/quadratic_odds_ends/v/algebra-ii-shifting-quadratic-graphs?utm_source=YT&utm_medium=Desc&utm_campaign=AlgebraI
Algebra I on Khan Academy: Algebra is the language through which we describe patterns. Think of it as a shorthand, of sorts. As opposed to having to do something over and over again, algebra gives you a simple way to express that repetitive process. It's also seen as a "gatekeeper" subject. Once you achieve an understanding of algebra, the higher-level math subjects become accessible to you. Without it, it's impossible to move forward. It's used by people with lots of different jobs, like carpentry, engineering, and fashion design. In these tutorials, we'll cover a lot of ground. Some of the topics include linear equations, linear inequalities, linear functions, systems of equations, factoring expressions, quadratic expressions, exponents, functions, and ratios.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Algebra channel:
https://www.youtube.com/channe....l/UCYZrCV8PNENpJt36V
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
(September 27, 2010) Professor Leonard Susskind discusses how the forces that act upon strings can affect the quantum mechanics. He also reviews many of the theories of relativity that contributed to string theory today.
String theory (with its close relative, M-theory) is the basis for the most ambitious theories of the physical world. It has profoundly influenced our understanding of gravity, cosmology, and particle physics. In this course we will develop the basic theoretical and mathematical ideas, including the string-theoretic origin of gravity, the theory of extra dimensions of space, the connection between strings and black holes, the "landscape" of string theory, and the holographic principle.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
44-47, factoring quadratics
Watch the next lesson: https://www.khanacademy.org/math/algebra/quadratics/quadratic_odds_ends/v/algebra-ii-quadratics-and-shifts?utm_source=YT&utm_medium=Desc&utm_campaign=AlgebraI
Missed the previous lesson?
https://www.khanacademy.org/math/algebra/quadratics/quadratic_odds_ends/v/solving-a-quadratic-by-factoring?utm_source=YT&utm_medium=Desc&utm_campaign=AlgebraI
Algebra I on Khan Academy: Algebra is the language through which we describe patterns. Think of it as a shorthand, of sorts. As opposed to having to do something over and over again, algebra gives you a simple way to express that repetitive process. It's also seen as a "gatekeeper" subject. Once you achieve an understanding of algebra, the higher-level math subjects become accessible to you. Without it, it's impossible to move forward. It's used by people with lots of different jobs, like carpentry, engineering, and fashion design. In these tutorials, we'll cover a lot of ground. Some of the topics include linear equations, linear inequalities, linear functions, systems of equations, factoring expressions, quadratic expressions, exponents, functions, and ratios.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Algebra channel:
https://www.youtube.com/channe....l/UCYZrCV8PNENpJt36V
Subscribe to Khan Academy: https://www.youtube.com/subscr....iption_center?add_us
38-43, systems, binomial simplification
Help us caption and translate this video on Amara.org: http://www.amara.org/en/v/BAtM/
(September 20, 2010) Leonard Susskind gives a lecture on the string theory and particle physics. He is a world renown theoretical physicist and uses graphs to help demonstrate the theories he is presenting.
String theory (with its close relative, M-theory) is the basis for the most ambitious theories of the physical world. It has profoundly influenced our understanding of gravity, cosmology, and particle physics. In this course we will develop the basic theoretical and mathematical ideas, including the string-theoretic origin of gravity, the theory of extra dimensions of space, the connection between strings and black holes, the "landscape" of string theory, and the holographic principle.
This course was originally presented in Stanford's Continuing Studies program.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
33-37, systems of equations and inequalities
More free lessons at: http://www.khanacademy.org/video?v=1piZ8oYWh3E
27-32, figuring out the slope, y-intercept and equation of a line
More free lessons at: http://www.khanacademy.org/video?v=31v-n2ND2VE
21-26, graphing inequalities and testing assertions
More free lessons at: http://www.khanacademy.org/video?v=KZ8Vw_Nim8U
14-20, simple logical reasoning
8-13, simplifying expressions and word problems
1-7, number properties and absolute value equations
Watch the next lesson: https://www.khanacademy.org/math/pre-algebra/order-of-operations/arithmetic_properties/v/properties-of-numbers-1?utm_source=YT&utm_medium=Desc&utm_campaign=PreAlgebra
Missed the previous lesson? https://www.khanacademy.org/math/pre-algebra/order-of-operations/arithmetic_properties/v/associative-law-of-multiplication?utm_source=YT&utm_medium=Desc&utm_campaign=PreAlgebra
Pre-Algebra on Khan Academy: No way, this isn't your run of the mill arithmetic. This is Pre-algebra. You're about to play with the professionals. Think of pre-algebra as a runway. You're the airplane and algebra is your sunny vacation destination. Without the runway you're not going anywhere. Seriously, the foundation for all higher mathematics is laid with many of the concepts that we will introduce to you here: negative numbers, absolute value, factors, multiples, decimals, and fractions to name a few. So buckle up and move your seat into the upright position. We're about to take off!
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to KhanAcademy’s Pre-Algebra channel:: https://www.youtube.com/channe....l/UCIMlYkATtXOFswVoC
Subscribe to KhanAcademy: https://www.youtube.com/subscr....iption_center?add_us
Some of the most important recent advancements in stem cell research have roots at the Harvard Stem Cell Institute. Two of the principal researchers explain what's happening at HSCI and what the future holds.
A group of Cambridge, Massachusetts researchers attempt to explain and then solve the challenge of building computers that can actually "see" and understand, much like the human brain.
(September 24, 2012) Leonard Susskind gives a broad introduction to general relativity, touching upon the equivalence principle.
This series is the fourth installment of a six-quarter series that explore the foundations of modern physics. In this quarter, Leonard Susskind focuses on Einstein's General Theory of Relativity.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(October 1, 2012) Leonard Susskind introduces some of the building blocks of general relativity including proper notation and tensor analysis.
This series is the fourth installment of a six-quarter series that explore the foundations of modern physics. In this quarter, Susskind focuses on Einstein's General Theory of Relativity.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(October 8, 2012) Leonard Susskind continues his discussion of Riemannian geometry and uses it as a foundation for general relativity.
This series is the fourth installment of a six-quarter series that explore the foundations of modern physics. In this quarter, Susskind focuses on Einstein's General Theory of Relativity.
(October 15, 2012) Leonard Susskind moves the course into discussions of gravity and basic gravitational fields.
The Fall 2012 quarter of the Modern Physics series concentrates on Einstein's theory of gravity and geometry: the General Theory of Relativity. This course is the fourth of a six-quarter sequence of classes that explores the essential theoretical foundations of modern physics.
Originally presented in the Stanford Continuing Studies Program
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Thanks to research by Professor Robert Wood and members of the Harvard Microrobotics Laboratory, micro-aerial vehicles like this one, based on the anatomy of a fly, may one day go where humans can not. Seen here, a carbon-fiber wing, 15 millimeters long, whips forward and back 110 times per second, able to propel the fly upward. Future models could be used to detect signs of life in a disaster zone or explore hazardous environments.
Exciting conclusion. More at http://cs50.tv/.
Guest lectures. More at http://cs50.tv/.
Preprocessing. Compiling. Assembling. Linking. CPUs. More at http://cs50.tv/.
CSS. Inheritance. JavaScript. Events, continued. Ajax. More at http://cs50.tv/.
CSS. Inheritance. JavaScript. Events, continued. Ajax. More at http://cs50.tv/.
October 22, 2012 - Leonard Susskind derives the spacetime metric for a gravitational field, and introduces the relativistic mathematics that describe a black hole.
This series is the fourth installment of a six-quarter series that explore the foundations of modern physics. In this quarter Susskind focuses on Einstein's General Theory of Relativity and in this lecture Leonard Susskind moves the course into discussions of gravity and basic gravitational fields.
Originally presented in the Stanford Continuing Studies Program.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
HTTP. XHTML. PHP. SQL. More at http://cs50.tv/.
(October 29, 2012) Leonard Susskind presents the physics of black holes including the event horizon, the photon sphere, and the singularity.
This series is the fourth installment of a six-quarter series that explore the foundations of modern physics. In this quarter, Professor Susskind focuses on Einstein's General Theory of Relativity and in this lecture Leonard Susskind moves the course into discussions of gravity and basic gravitational fields.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
HTTP. XHTML. PHP. SQL. More at http://cs50.tv/.
(November 5, 2012) Leonard Susskind continues the discussion of black holes in depth using coordinate transformations and diagrams to develop an intuitive understanding of black hole physics.
This series is the fourth installment of a six-quarter series that explore the foundations of modern physics. In this quarter Susskind focuses on Einstein's General Theory of Relativity.
Originally presented in the Stanford Continuing Studies Program.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
https://continuingstudies.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Valgrind. Bitwise operators. Hash tables. Trees. Binary search trees. Tries. Huffman coding. More at http://cs50.tv/.
(November 12, 2012) Leonard Susskind develops the coordinate transformations used to create Penrose diagrams, and then uses them to describe the physics of black hole creation.
This series is the fourth installment of a six-quarter series that explore the foundations of modern physics. In this quarter Susskind focuses on Einstein's General Theory of Relativity.
Originally presented in the Stanford Continuing Studies Program.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
https://continuingstudies.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Valgrind. Bitwise operators. Hash tables. Trees. Binary search trees. Tries. Huffman coding. More at http://cs50.tv/.
(November 26, 2012) Leonard Susskind derives the Einstein field equations of general relativity and demonstrates how they equate spacetime curvature as expressed by the Einstein tensor, with the energy and momentum within that spacetime as expressed by the stress-energy tensor.
This series is the fourth installment of a six-quarter series that explore the foundations of modern physics. In this quarter Susskind focuses on Einstein's General Theory of Relativity.
Originally presented in the Stanford Continuing Studies Program.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
https://continuingstudies.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
File I/O. Forensics. Linked lists. Stacks. Queues. More at http://cs50.tv/.
(December 3, 2012) Leonard Susskind demonstrates that Einstein's field equations become wave equations in the approximation of weak gravitational fields. The solutions for these equations create the theory of gravity waves.
This series is the fourth installment of a six-quarter series that explore the foundations of modern physics. In this quarter Susskind focuses on Einstein's General Theory of Relativity.
Originally presented in the Stanford Continuing Studies Program.
Stanford University:
http://www.stanford.edu/
Stanford Continuing Studies Program:
https://continuingstudies.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
File I/O. Forensics. Linked lists. Stacks. Queues. More at http://cs50.tv/.
(January 23, 2013) Jeff Clavier and John Lee discuss how newly formed companies in the seed stage can go about getting funding. They explain the similarities and differences between angel investors, venture capitalists, and incubators.
Stanford University:
http://www.stanford.edu/
Department of Managment Science and Engineering:
http://www.stanford.edu/dept/MSandE/cgi-bin/index.php
Stanford Entrepreneurship Corner:
http://ecorner.stanford.edu/
Stanford Graduate School of Business:
http://www.gsb.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Structures. Dynamic memory allocation. Stack and heap. Pointers. Debugging, continued. More at http://cs50.tv/.
January 16, 2013 - Steve Vassallo shares his experiences as a reformed entrepreneur. He covers steps for getting started: the problem (i.e. opportunity), solution, team, and motivation.
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Linear search. Binary search. Asymptotic notation. Recursion. Pseudorandomness. Bubble sort. Selection sort. Insertion sort. Merge sort. Debugging. More at http://cs50.tv/.
January 9, 2013 - Bill Coleman, Tom Kosnik, and David Hornik discuss their experiences working in Silicon Valley and share several lessons they have learned over the years.
MS&E 71: Entrepreneurship through the Lens of Venture Capital is a course which explores the process of being a successful startup. Through guest lectures and mentorship, students learn many lessons about how to deal with the problems they might encounter during the process of starting a new company in a place like Silicon Valley.
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Linear search. Binary search. Asymptotic notation. Recursion. Pseudorandomness. Bubble sort. Selection sort. Insertion sort. Merge sort. Debugging. More at http://cs50.tv/.
Functions, continued. Global variables. Parameters. Return values. Stack. Frames. Scope. Arrays. Strings. Command-line arguments. Cryptography. More at http://cs50.tv/.
Bill Draper talks about his experiences as a venture capitalist, what he looks for in an entrepreneur, how Silicon Valley has changed over 40 years, and gives advice to future entrepreneurs.
With over a century and a half of venture capital experience and many more years of practice in entrepreneurship, the teaching team and guest lecturers for this student initiated course cover the fundamentals for building a successful company. While there is no set formula for building a great company, basic principles and general patterns are manifested in the most successful start-ups.
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Functions, continued. Global variables. Parameters. Return values. Stack. Frames. Scope. Arrays. Strings. Command-line arguments. Cryptography. More at http://cs50.tv/.
Rethinking organizations, product, and sales. Mark Leslie, partner at Leslie Ventures, talks about running a company and how to make it successful after it has been started.
With over a century and a half of venture capital experience and many more years of practice in entrepreneurship, the teaching team and guest lecturers for this student initiated course cover the fundamentals for building a successful company. While there is no set formula for building a great company, basic principles and general patterns are manifested in the most successful start-ups.
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
C. Source code. Compilers. Object code. SSH. SFTP. GCC. Functions. Comments. Standard output. Arithmetic operators. Precedence. Associativity. Local variables. Types. Casting. Standard input. Libraries. Boolean expressions, continued. Conditions, continued. Loops, continued. More at http://cs50.tv/.
Gilman Louie, a partner at Alsop Louie Partners, discusses decision making, which details matter when starting and growing a business, and venture capital conventional wisdom.
With over a century and a half of venture capital experience and many more years of practice in entrepreneurship, the teaching team and guest lecturers for this student initiated course cover the fundamentals for building a successful company. While there is no set formula for building a great company, basic principles and general patterns are manifested in the most successful start-ups.
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
C. Source code. Compilers. Object code. SSH. SFTP. GCC. Functions. Comments. Standard output. Arithmetic operators. Precedence. More at http://cs50.tv/.
(February 7, 2012) How do we create a winning culture? Harrison Miller, Managing Director at Summit Partners, and Nick Mehta, CEO of LiveOffice Inc., discuss the keys to building a great team and company culture.
With over a century and a half of venture capital experience and many more years of practice in entrepreneurship, the teaching team and guest lecturers for this student initiated course cover the fundamentals for building a successful company. While there is no set formula for building a great company, basic principles and general patterns are manifested in the most successful start-ups.
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
This paper describes the first time a fly-sized robot -- the Harvard Robobee -- has carried a sensor onboard. In previous flights, the vehicle was "flying blind" -- it required an array of external cameras to precisely track its trajectory to control its flight. In this paper, we used a light sensor inspired by the ocelli of insects to tell the vehicle about its motion relative to a light source so that it could stay upright in flight. It will be necessary for the fly to carry sensors like this for it to be able to fly autonomously. Additionally, we used our work to suggest a hypothesis about insect flight. Because our vehicle has similar size and dynamics to that of the honeybee, we suggest an explanation for how this animal could use its light sensing ocelli to fly stably without tumbling to the ground, which is currently an open question in biology.
Sawyer B. Fuller, Michael Karpelson, Andrea Censi, Kevin Ma, and Robert Wood.
Howard Hartenbaum from August Capital discusses different types of funding sources, different types of investors and how to approach them, what VCs look for in companies, and his experiences from being an IT investor and entrepreneur.
With over a century and a half of venture capital experience and many more years of practice in entrepreneurship, the teaching team and guest lecturers for this student initiated course cover the fundamentals for building a successful company. While there is no set formula for building a great company, basic principles and general patterns are manifested in the most successful start-ups.
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Greg Ennis and Sanjay Dholakia discuss the keys to iterating to success in a startup and gives examples from Crowd Factory of the challenges in creating a successful market strategy and getting the most from your customers.
With over a century and a half of venture capital experience and many more years of practice in entrepreneurship, the teaching team and guest lecturers for this student initiated course cover the fundamentals for building a successful company. While there is no set formula for building a great company, basic principles and general patterns are manifested in the most successful start-ups.
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Lecture 9 of Leonard Susskind's course concentrating on Quantum Entanglements (Part 1, Fall 2006). Recorded November 27, 2006 at Stanford University.
This Stanford Continuing Studies course is the first of a three-quarter sequence of classes exploring the "quantum entanglements" in modern theoretical physics. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=A27CEA1B8B
Stanford Continuing Studies: http://continuingstudies.stanford.edu/
About Leonard Susskind: http://www.stanford.edu/dept/p....hysics/people/facult
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Lecture 8 of Leonard Susskind's course concentrating on Quantum Entanglements (Part 1, Fall 2006). Recorded November 13, 2006 at Stanford University.
This Stanford Continuing Studies course is the first of a three-quarter sequence of classes exploring the "quantum entanglements" in modern theoretical physics. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=A27CEA1B8B
Stanford Continuing Studies: http://continuingstudies.stanford.edu/
About Leonard Susskind: http://www.stanford.edu/dept/p....hysics/people/facult
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Lecture 7 of Leonard Susskind's course concentrating on Quantum Entanglements (Part 1, Fall 2006). Recorded November 6, 2006 at Stanford University.
This Stanford Continuing Studies course is the first of a three-quarter sequence of classes exploring the "quantum entanglements" in modern theoretical physics. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=A27CEA1B8B
Stanford Continuing Studies: http://continuingstudies.stanford.edu/
About Leonard Susskind: http://www.stanford.edu/dept/p....hysics/people/facult
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Lecture 6 of Leonard Susskind's course concentrating on Quantum Entanglements (Part 1, Fall 2006). Recorded October 30, 2006 at Stanford University.
This Stanford Continuing Studies course is the first of a three-quarter sequence of classes exploring the "quantum entanglements" in modern theoretical physics. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=A27CEA1B8B
Stanford Continuing Studies: http://continuingstudies.stanford.edu/
About Leonard Susskind: http://www.stanford.edu/dept/p....hysics/people/facult
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Lecture 5 of Leonard Susskind's course concentrating on Quantum Entanglements (Part 1, Fall 2006). Recorded October 23, 2006 at Stanford University.
This Stanford Continuing Studies course is the first of a three-quarter sequence of classes exploring the "quantum entanglements" in modern theoretical physics. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=A27CEA1B8B
Stanford Continuing Studies: http://continuingstudies.stanford.edu/
About Leonard Susskind: http://www.stanford.edu/dept/p....hysics/people/facult
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Lecture 4 of Leonard Susskind's course concentrating on Quantum Entanglements (Part 1, Fall 2006). Recorded October 16, 2006 at Stanford University.
This Stanford Continuing Studies course is the first of a three-quarter sequence of classes exploring the "quantum entanglements" in modern theoretical physics. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=A27CEA1B8B
Stanford Continuing Studies: http://continuingstudies.stanford.edu/
About Leonard Susskind: http://www.stanford.edu/dept/p....hysics/people/facult
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Lecture 3 of Leonard Susskind's course concentrating on Quantum Entanglements (Part 1, Fall 2006). Recorded October 9, 2006 at Stanford University.
This Stanford Continuing Studies course is the first of a three-quarter sequence of classes exploring the "quantum entanglements" in modern theoretical physics. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=A27CEA1B8B
Stanford Continuing Studies: http://continuingstudies.stanford.edu/
About Leonard Susskind: http://www.stanford.edu/dept/p....hysics/people/facult
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Lecture 2 of Leonard Susskind's course concentrating on Quantum Entanglements (Part 1, Fall 2006). Recorded October 2, 2006 at Stanford University.
This Stanford Continuing Studies course is the first of a three-quarter sequence of classes exploring the "quantum entanglements" in modern theoretical physics. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=A27CEA1B8B
Stanford Continuing Studies: http://continuingstudies.stanford.edu/
About Leonard Susskind: http://www.stanford.edu/dept/p....hysics/people/facult
Stanford University channel on YouTube:
http://www.youtube.com/stanford
Lecture 1 of Leonard Susskind's course concentrating on Quantum Entanglements (Part 1, Fall 2006). Recorded September 25, 2006 at Stanford University.
This Stanford Continuing Studies course is the first of a three-quarter sequence of classes exploring the "quantum entanglements" in modern theoretical physics. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University.
Complete playlist for the course:
http://www.youtube.com/view_pl....ay_list?p=A27CEA1B8B
Stanford Continuing Studies: http://continuingstudies.stanford.edu/
About Leonard Susskind: http://www.stanford.edu/dept/p....hysics/people/facult
Stanford University channel on YouTube:
http://www.youtube.com/stanford
To register for the 2015 course, visit https://www.edx.org/course/jus....tice-harvardx-er22-1
PART ONE: DEBATING SAME-SEX MARRIAGE
If principles of justice depend on the moral or intrinsic worth of the ends that rights serve, how should we deal with the fact that people hold different ideas and conceptions of what is good? Students address this question in a heated debate about same-sex marriage. Should same-sex marriage be legal? Can we settle the matter without discussing the moral permissibility of homosexuality or the purpose of marriage?
PART TWO: THE GOOD LIFE
Professor Sandel raises two questions. Is it necessary to reason about the good life in order to decide what rights people have and what is just? If so, how is it possible to argue about the nature of the good life? Students explore these questions with a discussion about the relation of law and morality, as played out in public controversies over same-sex marriage and abortion. Michael Sandel concludes his lecture series by making the point that, in many cases, the law cant be neutral on hard moral questions. Engaging rather than avoiding the moral convictions of our fellow citizens may be the best way of seeking a just society.
To register for the 2015 course, visit https://www.edx.org/course/jus....tice-harvardx-er22-1
PART ONE: THE CLAIMS OF COMMUNITY
Professor Sandel presents Kants objections to Aristotles theory. Kant believes politics must respect individual freedom. People must always respect other peoples freedom to make their own choices—a universal duty to humanity—but for Kant, there is no other source of moral obligation. The discussion of Kants view leads to an introduction to the communitarian philosophy. Communitarians argue that, in addition to voluntary and universal duties, we also have obligations of membership, solidarity, and loyalty. These obligations are not necessarily based on consent. We inherit our past, and our identities, from our family, city, or country. But what happens if our obligations to our family or community come into conflict with our universal obligations to humanity?
PART TWO: WHERE OUR LOYALTY LIES
Professor Sandel leads a discussion about the arguments for and against obligations of solidarity and membership. Do we owe more to our fellow citizens that to citizens of other countries? Is patriotism a virtue, or a prejudice for ones own kind? If our identities are defined by the particular communities we inhabit, what becomes of universal human rights? Using various scenarios, students debate whether or not obligations of loyalty can ever outweigh universal duties of justice.
To register for the 2015 course, visit https://www.edx.org/course/jus....tice-harvardx-er22-1
PART ONE: THE GOOD CITIZEN
Aristotle believes the purpose of politics is to promote and cultivate the virtue of its citizens. The telos or goal of the state and political community is the good life. And those citizens who contribute most to the purpose of the community are the ones who should be most rewarded. But how do we know the purpose of a community or a practice? Aristotles theory of justice leads to a contemporary debate about golf. Sandel describes the case of Casey Martin, a disabled golfer, who sued the PGA after it declined his request to use a golf cart on the PGA Tour. The case leads to a debate about the purpose of golf and whether a players ability to walk the course is essential to the game.
PART TWO: FREEDOM VS. FIT
How does Aristotle address the issue of individual rights and the freedom to choose? If our place in society is determined by where we best fit, doesnt that eliminate personal choice? What if I am best suited to do one kind of work, but I want to do another? In this lecture, Sandel addresses one of the most glaring objections to Aristotles views on freedom—his defense of slavery as a fitting social role for certain human beings. Students discuss other objections to Aristotles theories and debate whether his philosophy overly restricts the freedom of individuals.
To register for the 2015 course, visit https://www.edx.org/course/jus....tice-harvardx-er22-1
PART ONE: ARGUING AFFIRMATIVE ACTION
PART TWO: WHAT'S THE PURPOSE?
Part 1
Sandel describes the 1996 court case of a white woman named Cheryl Hopwood who was denied admission to a Texas law school, even though she had higher grades and test scores than some of the minority applicants who were admitted. Hopwood took her case to court, arguing the schools affirmative action program violated her rights. Students discuss the pros and cons of affirmative action. Should we try to correct for inequality in educational backgrounds by taking race into consideration? Should we compensate for historical injustices such as slavery and segregation? Is the argument in favor of promoting diversity a valid one? How does it size up against the argument that a students efforts and achievements should carry more weight than factors that are out of his or her control and therefore arbitrary? When a universitys stated mission is to increase diversity, is it a violation of rights to deny a white person admission?
PART TWO: WHATS THE PURPOSE?
Sandel introduces Aristotle and his theory of justice. Aristotle disagrees with Rawls and Kant. He believes that justice is about giving people their due, what they deserve. When considering matters of distribution, Aristotle argues one must consider the goal, the end, the purpose of what is being distributed. The best flutes, for example, should go to the best flute players. And the highest political offices should go to those with the best judgment and the greatest civic virtue. For Aristotle, justice is a matter of fitting a persons virtues with an appropriate role.
(June 2, 2010) Professor Robert Sapolsky gives the final lecture in the Human Biology 160 class. He uses the lecture to wrap up any loose ends and show how the themes of the class connects without the more complex concepts that were brought up throughout the course.
Stanford University:
http://www.stanford.edu/
Stanford Department of Biology:
http://biology.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
To register for the 2015 course, visit https://www.edx.org/course/jus....tice-harvardx-er22-1
ART ONE: WHATS A FAIR START?
Is it just to tax the rich to help the poor? John Rawls says we should answer this question by asking what principles you would choose to govern the distribution of income and wealth if you did not know who you were, whether you grew up in privilege or in poverty. Wouldnt you want an equal distribution of wealth, or one that maximally benefits whomever happens to be the least advantaged? After all, that might be you. Rawls argues that even meritocracy—a distributive system that rewards effort—doesnt go far enough in leveling the playing field because those who are naturally gifted will always get ahead. Furthermore, says Rawls, the naturally gifted cant claim much credit because their success often depends on factors as arbitrary as birth order. Sandel makes Rawlss point when he asks the students who were first born in their family to raise their hands.
PART TWO: WHAT DO WE DESERVE?
Professor Sandel recaps how income, wealth, and opportunities in life should be distributed, according to the three different theories raised so far in class. He summarizes libertarianism, the meritocratic system, and John Rawlss egalitarian theory. Sandel then launches a discussion of the fairness of pay differentials in modern society. He compares the salary of former Supreme Court Justice Sandra Day OConnor ($200,000) with the salary of televisions Judge Judy ($25 million). Sandel asks, is this fair? According to John Rawls, it is not. Rawls argues that an individuals personal success is often a function of morally arbitrary facts—luck, genes, and family circumstances—for which he or she can claim no credit. Those at the bottom are no less worthy simply because they werent born with the talents a particular society rewards, Rawls argues, and the only just way to deal with societys inequalities is for the naturally advantaged to share their wealth with those less fortunate.
(May 26, 2010) Professor Robert Sapolsky finishes his lecture on language and then dives into his discussion about schizophrenia. He discusses environmental factors as well as genetic characteristics that could apply to people who are affected. He describes schizophrenia as a disease of thought disorder and inappropriate emotional attributes.
Stanford University:
http://www.stanford.edu/
Stanford Department of Biology:
http://biology.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
To register for the 2015 course, visit https://www.edx.org/course/jus....tice-harvardx-er22-1
PART ONE: A LESSON IN LYING
Immanuel Kants stringent theory of morality allows for no exceptions. Kant believed that telling a lie, even a white lie, is a violation of ones own dignity. Professor Sandel asks students to test Kants theory with this hypothetical case: if your friend were hiding inside your home, and a person intent on killing your friend came to your door and asked you where he was, would it be wrong to tell a lie? If so, would it be moral to try to mislead the murderer without actually lying? This leads to a discussion of the morality of misleading truths. Sandel wraps up the lecture with a video clip of one of the most famous, recent examples of dodging the truth: President Clinton talking about his relationship with Monica Lewinsky.
PART TWO: A DEAL IS A DEAL
Sandel introduces the modern philosopher John Rawls and his theory of a hypothetical social contract. Rawls argues that principles of justice are the outcome of a special kind of agreement. They are the principles we would all agree to if we had to choose rules for our society and no one had any unfair bargaining power. According to Rawls, the only way to ensure that no one has more power than anyone else is to imagine a scenario where no one knows his or her age, sex, race, intelligence, strength, social position, family wealth, religion, or even his or her goals in life. Rawls calls this hypothetical situation a veil of ignorance. What principles would we agree to behind this veil of ignorance? And would these principles be fair? Professor Sandel explains the idea of a fair agreement with some humorous examples of actual contracts that produce unfair results.
(May 21, 2010) Professor Robert Sapolsky gives a lecture on language. He describes the similarities and differences between different human and animal languages. He focuses on how we use language to communicate with each other, how we communicate with animals, and how animals commute with each other.
Stanford University:
http://www.stanford.edu/
Stanford Department of Biology:
http://biology.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
To register for the 2015 course, visit https://www.edx.org/course/jus....tice-harvardx-er22-1
PART ONE: MIND YOUR MOTIVE
Professor Sandel introduces Immanuel Kant, a challenging but influential philosopher. Kant rejects utilitarianism. He argues that each of us has certain fundamental duties and rights that take precedence over maximizing utility. Kant rejects the notion that morality is about calculating consequences. When we act out of duty—doing something simply because it is right—only then do our actions have moral worth. Kant gives the example of a shopkeeper who passes up the chance to shortchange a customer only because his business might suffer if other customers found out. According to Kant, the shopkeepers action has no moral worth, because he did the right thing for the wrong reason.
PART TWO: THE SUPREME PRINCIPLE OF MORALITY
Immanuel Kant says that insofar as our actions have moral worth, what confers moral worth is our capacity to rise above self-interest and inclination and to act out of duty. Sandel tells the true story of a thirteen-year old boy who won a spelling bee contest, but then admitted to the judges that he had, in fact, misspelled the final word. Using this story and others, Sandel explains Kants test for determining whether an action is morally right: to identify the principle expressed in our action and then ask whether that principle could ever become a universal law that every other human being could act on.
(May 21, 2010) Professor Robert Sapolsky gives a lecture on emergence and complexity. He details how a small difference at one place in nature can have a huge effect on a system as time goes on. He calls this idea fractal magnification and applies it to many different systems that exist throughout nature.
Stanford University:
http://www.stanford.edu/
Stanford Department of Biology:
http://biology.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
To register for the 2015 course, visit https://www.edx.org/course/jus....tice-harvardx-er22-1
PART ONE: HIRED GUNS
During the Civil War, men drafted into war had the option of hiring substitutes to fight in their place. Professor Sandel asks students whether they consider this policy just. Many do not, arguing that it is unfair to allow the affluent to avoid serving and risking their lives by paying less privileged citizens to fight in their place. This leads to a classroom debate about war and conscription. Is todays voluntary army open to the same objection? Should military service be allocated by the labor market or by conscription? What role should patriotism play, and what are the obligations of citizenship? Is there a civic duty to serve ones country? And are utilitarians and libertarians able to account for this duty?
PART TWO: MOTHERHOOD: FOR SALE
In this lecture, Professor Sandel examines the principle of free-market exchange in light of the contemporary controversy over reproductive rights. Sandel begins with a humorous discussion of the business of egg and sperm donation. He then describes the case of Baby M"—a famous legal battle in the mid-eighties that raised the unsettling question, Who owns a baby?" In 1985, a woman named Mary Beth Whitehead signed a contract with a New Jersey couple, agreeing to be a surrogate mother in exchange for a fee of $10,000. However, after giving birth, Ms. Whitehead decided she wanted to keep the child, and the case went to court. Sandel and students debate the nature of informed consent, the morality of selling a human life, and the meaning of maternal rights.
(May 19, 2010) Professor Robert Sapolsky gives what he calls "one of the most difficult lectures of the course" about chaos and reductionism. He references a book that he assigned to his students. This lecture focuses on reduction science and breaking things down to their component parts in order to understand them best.
Stanford University:
http://www.stanford.edu/
Stanford Department of Biology:
http://biology.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
To register for the 2015 course, visit https://www.edx.org/course/jus....tice-harvardx-er22-1
PART ONE: THIS LAND IS MY LAND
The philosopher John Locke believes that individuals have certain rights so fundamental that no government can ever take them away. These rights—to life, liberty and property—were given to us as human beings in the the state of nature, a time before government and laws were created. According to Locke, our natural rights are governed by the law of nature, known by reason, which says that we can neither give them up nor take them away from anyone else. Sandel wraps up the lecture by raising a question: what happens to our natural rights once we enter society and consent to a system of laws?
PART TWO: CONSENTING ADULTS
If we all have unalienable rights to life, liberty, and property, how can a government enforce tax laws passed by the representatives of a mere majority? Doesnt that amount to taking some peoples property without their consent? Lockes response is that we give our tacit consent to obey the tax laws passed by a majority when we choose to live in a society. Therefore, taxation is legitimate and compatible with individual rights, as long as it applies to everyone and does not arbitrarily single anyone out.
(May 17, 2010) Professor Robert Sapolsky completes his fourth and final part of a discussion about aggression and violence. He discusses how hormones and evolution have shaped this behavior into the way humans interact today.
Stanford University:
http://www.stanford.edu/
Stanford Department of Biology:
http://biology.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
To register for the 2015 course, visit https://www.edx.org/course/jus....tice-harvardx-er22-1
ART ONE: FREE TO CHOOSE
Sandel introduces the libertarian conception of individual rights, according to which only a minimal state is justified. Libertarians argue that government shouldnt have the power to enact laws that 1) protect people from themselves, such as seat belt laws, 2) impose some peoples moral values on society as a whole, or 3) redistribute income from the rich to the poor. Sandel explains the libertarian notion that redistributive taxation is akin to forced labor with references to Bill Gates and Michael Jordan.
PART TWO: WHO OWNS ME?
Libertarian philosopher Robert Nozick makes the case that taxing the wealthy—to pay for housing, health care, and education for the poor—is a form of coercion. Students first discuss the arguments behind redistributive taxation. Dont most poor people need the social services they receive in order to survive? If you live in a society that has a system of progressive taxation, arent you obligated to pay your taxes? Dont many rich people often acquire their wealth through sheer luck or family fortune? A group of students dubbed Team Libertarian volunteers to defend the libertarian philosophy against these objections.
(May 14, 2010) Robert Sapolsky continues his neurobiological exploration of human aggression. He discusses correlations between neurotransmitter prevalence and aggression levels, aggressive activity differences from genetic variance, societal factors and application, amplification from alcohol, and crime and punishment.
Stanford University:
http://www.stanford.edu/
Stanford Department of Biology:
http://biology.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(May 12, 2010) Robert Sapolsky continues his lectures about aggression in humans but also continues to talk about other emotions and what goes on in the brain to cause these various emotions.
Stanford University:
http://www.stanford.edu/
Stanford Department of Biology:
http://biology.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(May 10, 2010) Robert Sapolsky completes his talk on sexual behavior in humans as well as other species, focusing on characteristics that create attractiveness. He then switches subject and talks about human aggression and how this has evolved and developed in different cultures.
Stanford University:
http://www.stanford.edu/
Stanford Department of Biology:
http://biology.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(May 7, 2010) Robert Sapolsky delivers the second part of his two-part lecture on sexual behavior. He discusses how this behavior has evolved into the intricate and complex system that exists today.
Stanford University:
http://www.stanford.edu/
Stanford Department of Biology:
http://biology.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
May 5, 2010) Robert Sapolsky explores behavioral patterns of human reproduction. He focuses on proximal and distal motivations, orgasm and fertility facilitation, non-reproductive sex, hormonal and cerebral sexual functions, and the differences and similarities between humans and animals in various physiological realms.
Stanford University:
http://www.stanford.edu/
Stanford Department of Biology:
http://biology.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
To register for the 2015 course, visit https://www.edx.org/course/jus....tice-harvardx-er22-1
PART ONE: PUTTING A PRICE TAG ON LIFE
Today, companies and governments often use Jeremy Benthams utilitarian logic under the name of cost-benefit analysis. Sandel presents some contemporary cases in which cost-benefit analysis was used to put a dollar value on human life. The cases give rise to several objections to the utilitarian logic of seeking the greatest good for the greatest number. Should we always give more weight to the happiness of a majority, even if the majority is cruel or ignoble? Is it possible to sum up and compare all values using a common measure like money?
PART TWO: HOW TO MEASURE PLEASURE
Sandel introduces J.S. Mill, a utilitarian philosopher who attempts to defend utilitarianism against the objections raised by critics of the doctrine. Mill argues that seeking the greatest good for the greatest number is compatible with protecting individual rights, and that utilitarianism can make room for a distinction between higher and lower pleasures. Mills idea is that the higher pleasure is always the pleasure preferred by a well-informed majority. Sandel tests this theory by playing video clips from three very different forms of entertainment: Shakespeares Hamlet, the reality show Fear Factor, and The Simpsons. Students debate which experience provides the higher pleasure, and whether Mills defense of utilitarianism is successful.
(April 30, 2010) Robert Sapolsky focuses on the role of the limbic system as the emotional component of the nervous system. He explores its influence on decision making, its connection to the cortex, and the various functions of subparts within the limbic system circuitry.
Stanford University:
http://www.stanford.edu/
Stanford Department of Biology:
http://biology.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
To register for the 2015 course, visit https://www.edx.org/course/jus....tice-harvardx-er22-1
PART ONE: THE MORAL SIDE OF MURDER
If you had to choose between (1) killing one person to save the lives of five others and (2) doing nothing even though you knew that five people would die right before your eyes if you did nothing—what would you do? What would be the right thing to do? Thats the hypothetical scenario Professor Michael Sandel uses to launch his course on moral reasoning. After the majority of students votes for killing the one person in order to save the lives of five others, Sandel presents three similar moral conundrums—each one artfully designed to make the decision more difficult. As students stand up to defend their conflicting choices, it becomes clear that the assumptions behind our moral reasoning are often contradictory, and the question of what is right and what is wrong is not always black and white.
PART TWO: THE CASE FOR CANNIBALISM
Sandel introduces the principles of utilitarian philosopher, Jeremy Bentham, with a famous nineteenth century legal case involving a shipwrecked crew of four. After nineteen days lost at sea, the captain decides to kill the weakest amongst them, the young cabin boy, so that the rest can feed on his blood and body to survive. The case sets up a classroom debate about the moral validity of utilitarianism—and its doctrine that the right thing to do is whatever produces "the greatest good for the greatest number."
(April 28, 2010) Robert Sapolsky continues the exploration of endocrinology and neurology. He looks at more complicated systems of communication within neurobiology, the limbic system's role in personality and behavior, abnormal behavior possibilities within these systems, and individual organism variation and imprinting.
Stanford University
http://www.stanford.edu/
Stanford Department of Biology
http://biology.stanford.edu/
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(April 26, 2010) William Peterson and Tom McFadden introduce the field of endocrinology. They explore at the contextual basis of the endocrine system, peptide vs. steroid hormones, the processes by which the brain controls hormones, and hormonal influence on the brain.
Stanford University
http://www.stanford.edu
Stanford Department of Biology
http://biology.stanford.edu/
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(April 23, 2010) Patrick House discusses memories and how they are formed. Dana Turker then lectures about the autonomic nervous system and its functions.
Stanford University
http://www.stanford.edu
Stanford Department of Biology
http://biology.stanford.edu/
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(April 21, 2010) Nathan Woodling and Anthony Chung-Ming Ng give a broad overview of the field of neuroscience and how it relates to human biology. They discuss the different lobes of the brain and the cells within as well as neuropharmacology and re-uptake.
Stanford University
http://www.stanford.edu
Stanford Department of Biology
http://biology.stanford.edu/
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(April 19, 2010) Robert Sapolsky looks at the biology of behavior through the ethological lens: observing animals in various natural environments, in their own language. He explores behavioral variety, the importance of gene environment interactions, experimental testing of fixed action patterns, the releasing of informational stimuli, and neuroethology.
Stanford University
http://www.stanford.edu
Stanford Department of Biology
http://biology.stanford.edu/
Stanford University Channel on YouTube
http://www.youtube.com/stanford
An interview with Marshall Goldsmith, Ask the Coach blogger for HarvardBusiness.org. Advice for managers who want to learn how to influence up and become leaders in the future.
An interview with Dave Ulrich and Norm Smallwood, Founders, The RBL Group. You have a strong personal leadership brand when your individual strengths deliver value to the people you want to serve.
(April 16, 2010) Robert Sapolsky discusses various methods of innate recognition of relatives between animals and humans through protein signatures, olfactory cellular mechanisms, cognitive, and sensory processes. He explores the importance of relatedness in animal mating/ovulation cycles and other phenomena that show how organisms identify each other.
Stanford University
http://www.stanford.edu
Stanford Department of Biology
http://biology.stanford.edu/
Stanford University Channel on YouTube
http://www.youtube.com/stanford
An interview with Joseph L. Bower, Professor, Harvard Business School. To become an effective CEO, work for companies committed to leadership development, and take responsibility for your own development on the job.
(April 14, 2010) Robert Sapolsky continues his series addressing the link between behavior and genetics. He covers the complex endeavor of gene isolation and variability and heritability and wrongly eliminated environmental influences in heritability tests -- finding that genes and environment are infinitely interconnected and co-dependent on each other.
Stanford University
http://www.stanford.edu
Stanford Department of Biology
http://biology.stanford.edu/
Stanford University Channel on YouTube
http://www.youtube.com/stanford
An interview with Daniel Goleman, Psychologist. See how you can use emotional and social intelligence to improve your own and your organization's performance.
(April 12, 2010) Robert Sapolsky introduces a two-part series exploring the controversial scientific practice of inferring behavior to genetics. He covers classical techniques in behavior genetics and flaws, the significance of environmental factors, non genetic inheritance of traits, and multigenerational effects and relationship to epigenetic differences.
Stanford University
http://www.stanford.edu
Stanford Department of Biology
http://biology.stanford.edu/
Stanford University Channel on YouTube
http://www.youtube.com/stanford
An interview with Stewart Friedman, Professor, University of Pennsylvania's Wharton School. Traditional thinking pits work and the rest of our lives against each other. But taking smart steps to integrate work, home, community, and self will make you a more productive leader and a more fulfilled person.
(April 7, 2010) Robert Sapolsky continues his series on molecular genetics in which he discusses domains of mutation and various components of natural selection on a molecular level. He also further assesses gradualism and punctuated equilibrium models of evolution, integrating these theories into an interrelated model of development.
Stanford University
http://www.stanford.edu
Stanford Department of Biology
http://biology.stanford.edu/
Stanford University Channel on YouTube
http://www.youtube.com/stanford
An interview with Dave Ulrich and Norm Smallwood, Cofounders, The RBL Group. Companies build a leadership brand by developing leaders who enable employees to deliver the results expected by customers.
(April 5, 2010) Robert Sapolsky makes interdisciplinary connections between behavioral biology and molecular genetic influences. He relates protein synthesis and point mutations to microevolutionary change, and discusses conflicting theories of gradualism and punctuated equilibrium and the influence of epigenetics on development theories.
Stanford University
http://www.stanford.edu
Stanford Department of Biology
http://biology.stanford.edu/
Stanford University Channel on YouTube
http://www.youtube.com/stanford
Cisco CEO John Chambers explains how abandoning command-and-control leadership has enabled the company to innovate more quickly, using collaboration and teamwork.
(April 2, 2010) Robert Sapolsky continues his two-part series on evolution focusing on individual and kin selection, behavioral logic, competitive infanticide, male/female animal hierarchies, sex-ratio fluctuation, intersexual competition, imprinted genes, sperm competition, inbred-founder populations, group and multi-level selection, and punctuated equilibrium.
Stanford University
http://www.stanford.edu
Stanford Department of Biology
http://biology.stanford.edu/
Stanford University Channel on YouTube
http://www.youtube.com/stanford
An Interview with Linda A. Hill, Professor, Harvard Business School. We won't find new global leaders by looking in conventional places for people who act in conventional take-charge ways. Instead, look for people who can lead from behind to promote the collective genius of their teams.
(March 31, 2010) Stanford professor Robert Sapolsky lectures on the biology of behavioral evolution and thoroughly discusses examples such as The Prisoner's Dilemma.
Stanford University
http://www.stanford.edu
Stanford Department of Biology
http://biology.stanford.edu/
Stanford University Channel on YouTube
http://www.youtube.com/stanford
(March 29, 2010) Stanford professor Robert Sapolsky gave the opening lecture of the course entitled Human Behavioral Biology and explains the basic premise of the course and how he aims to avoid categorical thinking.
Stanford University
http://www.stanford.edu
Stanford Department of Biology
http://biology.stanford.edu/
Stanford University Channel on YouTube
http://www.youtube.com/stanford
C. K. Prahalad and Jeb Brugmann accept their first-place McKinsey Award for their Harvard Business Review article, "Cocreating Business's New Social Compact".
The 49th Annual Harvard Business Review McKinsey Awards were held April 21, 2008 at the Asian Art Museum in San Francisco. Since 1959 the McKinsey Awards have honored the two best articles published each year in Harvard Business Review.
An Interview with Rosabeth Moss Kanter, Professor, Harvard Business School. Some multinationals, despite their size, manage to be nimble, innovative, and connected with local communities. How? By placing greater emphasis on shared values and making a positive impact on the world.
An interview with John Kotter, Professor Emeritus, Harvard Business School.
Without a true sense of urgency, any change effort is doomed. Watch John Kotter discuss the need for urgency and how managers create and sustain it in their organizations.
(June 3, 2009) Evan Doll covers unit testing and localization. He then wraps up the quarter answering questions from the online audience.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
An interview with John Boudreau, Professor, University of Southern California's Marshall School of Business. The key to staying competitive? Invest in your strategic pivot points--roles where improved performance would make the biggest difference to executing your strategy.
(June 1, 2009) Professor Ge Wang, Stanford Professor and creator of the popular iPhone Ocarina and Leaf Trombone apps, demonstrates how creativity and social connections can intersect on a global scale.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(May 27, 2009) Alan Cannistraro covers audio APIs, video playback, displaying web content, and settings.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
An Interview with Michael E. Porter, Professor, Harvard University. Porter's five competitive forces is the basis for much of modern business strategy. Understand the framework and how to put it into practice.
Featuring Paul Krugman, Professor, Columnist, and Nobel Prize Winner. Get his take on the Obama stimulus plan and who might be to blame for the economic crisis -- and learn what a "Krugman Plan" would look like.
(May 20, 2009) Justin Santamaria, from the iPhone Software Engineering team, provides an overview of the iPhone device APIs.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(May 18, 2009) Steve Demeter shares his experience in creating the popular game applications, Trism. Josh Shaffer follows with a overview of touch-events and multi-touch.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Adam Werbach, Global CEO of Saatchi and Saatchi S and former Sierra Club president, is the author of Strategy for Sustainability.
(May 13, 2009) Alan Cannistraro covers searching and notifications.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Andrew Winston, founder of Winston Eco-Strategies, explains how to get lean, get smart, and emerge from the downturn on top.
(May 11, 2009) Alex Aybes discusses putting people in your application -- the address book.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Cesare Mainardi, managing director of Booz & Company, details how executives should cut costs--but often dont.
(May 6, 2009) Evan Doll covers text input and presenting content modally.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
(May 4, 2009) Alan Cannistraro covers application performance.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
An interview with Bill Taylor, Game Changer blogger for HarvardBusiness.org. Zappos knows that they can't deliver great customer service unless their employees are committed to the values of the company. So what do they do? They pay employees to quit!
(April 29, 2009) Evan Doll discusses data in your iPhone application.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
An interview with Tom Davenport, Professor of Information Technology & Management, Babson College. While some elements of Google's success as innovator would be very hard to emulate, others can be profitably adopted by almost any business.
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
An interview with Scott Anthony, President, Innosight. Disruptive innovation occurs when an innovator brings something to market that is simple, convenient, accessible, and affordable. Here are some tips to help you pinpoint disruptive opportunities within your organization.
(April 27, 2009) Guest lecturer Jason Beaver from the Apple User Interface Kit (UIKit) team covers scroll views and table views.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
An interview with Maggie Brenneke, Director, Skoll Social Enterprise Program. When businesses consider their social and environmental bottom lines, they identify new opportunities to innovate. Some of those opportunities can be surprisingly counterintuitive.
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
Follow this link to the course website: https://eee.uci.edu/09f/40350/
An interview with A.G. Lafley, Chairman and CEO, Procter & Gamble. Innovation is at the core of P&G's business strategy. See how P&G makes innovation an everyday practice in their organization.
An interview with Kevin Coyne, Founder, Kevin Coyne Partners. Asking people to "think outside the box" creates chaotic brainstorming. Here are five questions that can stimulate more focused thinking about possible new products and services.
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
An interview with David Kester, Chief Executive, Design Council. To foster a culture of innovation, managers must look outward to identify consumers' problems and spark ideas for solving those problems. They must also ease employees' fear of change.
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
Scott Anthony, president of Innosight, explains how to innovate when time and money are tight.
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
(April 22, 2009) Evan Doll covers navigation and tab bar controllers.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
(April 20, 2009) Evan Doll outlines designing iPhone applications, goes on to discuss the model-view-controller paradigm, and explores view controllers
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
(April 15, 2009) Alan Cannistraro covers views, drawing, and animation.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
(April 13, 2009) Alan Cannistraro discusses the interface builder, controls, and target-action.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
(April 8, 2009) Evan Doll discusses custom classes, object lifecycles, autorelease, and properties.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
(April 6, 2009) Alan Cannistraro provides an overview of object oriented programming, the objective-C programming language, and common foundation classes.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
With the recent awarding of the Nobel Peace Prize to three women leaders, policymakers are beginning to acknowledge that women are essential to peace and security. Six women leaders from Israel, Palestine, Sudan, South Sudan, Afghanistan, and Pakistan--describe how they mobilize for an end to violent conflict. Hear firsthand how women are waging peace within their communities and across conflict lines all over the globe, as well as how decision-makers can draw on underutilized resources and skills to bring women to the table. Cosponsored by the Carr Center for Human Rights Policy, the Center for Public Leadership, and the Women and Public Policy Program.
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
Dean David Ellwood moderates a conversation with a distinguished panel on the economic policies that inform the Occupy movement. They debate the causes of growing economic inequality, why we should care, and what we might do concretely about it. Family structures, the power of the "American dream," and education are discussed at length.
December 1, 2011
(April 1, 2009) Evan Doll provides an overview for the Stanford Computer Science department course, iPhone Application Programming (CS193P).
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
The 2011 Robert McNamara Lecture on War and Peace
Robert Zoellick, President of the World Bank Group, presents the 2011 Robert McNamara Lecture on War and Peace, moderated by Belfer Center Director Graham Allison. The event includes an introduction by Dr. Robert Pastor, director of the Center for North American Studies and the Center for Democracy and Election Management. Robert Zoellick discusses the challenges and goals of the World Bank, and offers advice to students on how to be an effective global leader.
November 29, 2011
Mayors from around the country discuss the key issues confronting their cities, including infrastructure concerns, curfews, flash mobs, and gun laws, as well as their response to--and the impact of--the Occupy movement. This Forum event is presented in conjunction with the IOPís Seminar on Transition and Leadership for Newly-Elected Mayors. Speakers Greg Fischer, Mayor, Louisville, KY; Michael Hancock, Mayor, Denver, CO; Michael Nutter, Philadelphia, PA; Stephanie Rawlings-Blake, Baltimore, MD ; Moderated by IOP Director Trey Grayson.
November 30, 2011
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
The New Frontier Awards are presented annually to exceptional young Americans under the age of 40 whose contributions in elective office, community service or advocacy demonstrate the impact and value of public service in the spirit of John F. Kennedy. The recipients this year are Luke Ravenstahl, Mayor of Pittsburgh, Pennsylvania and Jennifer Staple-Clark, Founder and Chief Executive Officer of Unite for Sight.
Following a film screening of "A City Upon a Hill" introduced by Speaker and Mrs. Newt Gingrich, IOP Director Trey Grayson moderates a conversation with The Honorable Newt Gingrich, Former Speaker of U.S. House of Representatives. They discuss the concept of American exceptionalism, the progress of the Republican presidential primaries, and a wide spread of domestic and foreign affairs.
November 18, 2011
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
Institute of Politics
Internal Revenue Service Commissioner Douglas Shulman discussed ways in which the tax code can be simplified. He noted that the IRS is the only federal agency that interacts with taxpayers every year. He stated that simplifications in the tax code can improve fairness and efficiency.
Collection Summary: The John F. Kennedy Jr. Forum is one of the world's premier arenas for political speech, discussion and debate
Date: November 14, 2011
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
Noted political and environmental activist Van Jones discusses the dramatically shifting economic and political landscape in America today. In this passionate address, Jones analyzes key similarities and differences between the Occupy Wall Street and Tea Party movements, from the sources of their frustrations to organizational structures. The question and answer session is moderated by Trey Grayson, Institute of Politics Director. Damilare Sonoiki, current president of the Harvard Black Men's Forum, provides the introduction for Van Jones.
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
The Institute of Politics presents a conversation on the recent developments in Tunisia Egypt and Lebanon with speakers Rami Khouri, Tarek Masoud, Roger Owen, Malika Zeghal
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
The Institute of Politics presents a discussion with Monica Higgins, Nan Keohane, and Nitin Nohria about Keohane's book Thinking About Leadership. Moderated by David Gergen.
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
From the Harvard Institute of Politics, The Forum recognized Ronald Reagan's Centennial by hosting a panel discussion on President Reagan as a leader, the lessons learned from his presidency and his legacy. The panel featured members of the Regan administration as well as Reagan biographer Lou Cannon.
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
General Raymond Odierno, Commander of the United States Joint Forces Command, spoke to a capacity audience about the importance of leadership in a complex environment.
United States Secretary of Defense, William Perry delivered the "2011 Robert McNamara Lecture on War and Peace" where he emphasized the need for worldwide nuclear disarmament.
Congressman Eric Cantor (R-VA), Majority Leader of the United States House of Representatives spoke to a packed Forum on economic policy and the United States at a crossroads.
These videos are part of a 28-lecture undergraduate level course titled "Organic Chemistry" taught at UC Irvine by Professor James S. Nowick in fall 2009. This course covers topics such as bonding and structures, acids and bases, organic molecules and functional groups, alkanes, stereochemistry, organic reactions, alkyl halides and nucleophilic substitution, alkyl halides and elimination reactions, and other various topics. The website for the class is https://eee.uci.edu/09f/40350/ . The course is titled Chem 51A and is the first of a three-quarter sequence comprising Chem 51A, Chem 51B, and Chem 51C.
The Hon. Bill Richardson interviewed by Professor Graham Allison on his career and views on current events.
Hear the viewpoints of professors along with the Japanese Consul General in Boston. The most striking question asked by the audience was by an Irish geology professor, who challenged the Japanese consul by explaining how scientifically futile it was to build the generators over the ground as opposed to underground, and how this contributed to the chaos after the earthquake. The speakers for the most part did not confront each otherís points of view; therefore controversial discussions did not take place, yet the event was engaging in an informative way.
The Institute of Politics hosted Co-Founder of the Tea Party Patriots, Jenny Beth Martin and Chairman of the New Hampshire Liberty Caucus, Andrew Hemingway along with Kate Zernike of The New York Times and Shannon Travis of CNN for a discussion on the role of the Tea Party in American politics, its influence on current issues facing the United States and the 2012 elections.
Date: Wednesday, April 20 2011
Time: 06:00 PM
Location: JFK Jr. Forum
Bordering on Collapse: Drugs, Violence & The Future of Northern Mexico
Event Speakers: MICHAEL BRAUN, fmr. COO for DEA; ALFREDO CORCHADO, Dallas Morning News; ANGELA KOCHERGA, Belo TV; ALEJANDRO POIRE, Mexico Nat'l Security Council
Event Moderators: HLS professor PHILIP HEYMANN
Event CoSponsors: Rockefeller center for Latin American studies and Carr center for human rights policy
Harvard experts on terrorism, Pakistan, CIA, and the military came together to discuss the death of Osama Bin Laden, US relations with Pakistan and possible shifts in American military strategy.
National security experts and a career diplomat discuss how America has changed since 9/11 in the areas of counterterrorism, diplomacy, and Americaís relationship with the rest of the world. A conversation with Graham Allison, Michael Leiter, Juliette Kayyem, and the Hon. R. Nicholas Burns.
Epilogue - The map of machine learning. Brief views of Bayesian learning and aggregation methods. Lecture 18 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on May 31, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
President Sebastian Pinera reflects on Chileís history of growth and development and events during his presidency. Insights into the future path of Chile are presented.
Three Learning Principles - Major pitfalls for machine learning practitioners; Occam's razor, sampling bias, and data snooping. Lecture 17 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on May 29, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
A lively panel and audience conversation about the growing interest and involvement in the Occupy Wall Street Movement. Topics include the movement's primary catalysts, the 2008 bailout, the nation's growing economic disparity--as well as how the movement will grow and evolve in the coming months.
October 13, 2011
Radial Basis Functions - An important learning model that connects several machine learning models and techniques. Lecture 16 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on May 24, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
A panel of experts discusses the current economic woes in Greece and throughout the euro zone, as well as the ongoing ramifications of the U.S. 2008 subprime mortgage crisis. They explore inevitabilities of the European market's impact on the U.S. economy and the necessity for integrated worldwide economic systems and regulations. A conversation with moderator Diane Casey-Landry, John Dugan, David Muir, Richard Parker, and Barbara Rehm.
Kernel Methods - Extending SVM to infinite-dimensional spaces using the kernel trick, and to non-separable data using soft margins. Lecture 15 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on May 22, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
A discussion about the roles of women during war and their involvement in peace processes with Helen Benedict, Author of Sand Queen; Abigail Disney, Executive Producer of Women War and Peace; LTC Elizabeth Medina, Harvard National Security Fellow; Sahana Dharmapuri (Moderator), Carr Center Fellow
October 4, 2011
Support Vector Machines - One of the most successful learning algorithms; getting a complex model at the price of a simple one. Lecture 14 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on May 17, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
A conversation with the former Governor of Pennsylvania about his extensive career in public service, as well as the pressing political issues of the day. Topics include the Occupy Wall Street movement, economic and electoral policy, transportation infrastructure, and the successes and failures of the Obama administration.
October 11, 2011
Validation - Taking a peek out of sample. Model selection and data contamination. Cross validation. Lecture 13 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on May 15, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
Dr. Richard Haass covers the international relations spectrum by weighing in on a variety of preeminent global issues; from grand strategy (integration vs. restoration,) the Middle East, choices of the Obama administration, to what it takes to make a career in his field. The former Kennedy School professor further engages the audience my covering topics of their interest from Palestine, Sudan, Latin America, the Arctic, and the unfortunate Red Sock bust of 2011.
Regularization - Putting the brakes on fitting the noise. Hard and soft constraints. Augmented error and weight decay. Lecture 12 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on May 10, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
Overfitting - Fitting the data too well; fitting the noise. Deterministic noise versus stochastic noise. Lecture 11 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on May 8, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
Experts on the Arab Awakening discuss how the events in the Arab World in 2011 are understood differently in the U.S. and the Middle East. Insights are offered into what the future of the Middle East might look like as a result of the Awakening.
Neural Networks - A biologically inspired model. The efficient backpropagation learning algorithm. Hidden layers. Lecture 10 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on May 3, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
Institute of Politics directors discuss how the political conversation has changed over the last three decades and posit ideas for what the future may hold. A conversation with Dan Glickman, Jim Leach, Jeanne Shaheen, Jonathan Moore, Phil Sharp and Trey Grayson (moderator) Collection
The Fall 2011 IOP resident fellows discuss how the political landscape has become increasingly polarized. The influence of the 24-hour news cycle and the pressures of fundraising are examined as contributing factors. The outlook for independent candidates may change as the public becomes more disillusioned with their elected officials. A discussion with IOP Director Trey Grayson and IOP Resident Fellows Christina Bellantoni, Diane Casey-Landry, Ron Christie, Tad Devine, Linda Moore Forbes and Steve Grand.
The Linear Model II - More about linear models. Logistic regression, maximum likelihood, and gradient descent. Lecture 9 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on May 1, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
Harvard Kennedy School alums reflect on how their experiences as HKS students informed their career and life choices. A discussion with HKS Dean David Ellwood, Carie Lemack, Pam Kingpetcharat, the Hon. Shaun Donovan, and the Hon. Joseph A. Curtatone.
Date: August 30, 2011
Bias-Variance Tradeoff - Breaking down the learning performance into competing quantities. The learning curves. Lecture 8 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on April 26, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
The VC Dimension - A measure of what it takes a model to learn. Relationship to the number of parameters and degrees of freedom. Lecture 7 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on April 24, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
New York Times journalists reflect on where they were on 9/11 and how America and journalism have changed since then. A discussion with Rick Berke, Laurie Goodstein, Jim Dao, and Dan Barry
Theory of Generalization - How an infinite model can learn from a finite sample. The most important theoretical result in machine learning. Lecture 6 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on April 19, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
Training versus Testing - The difference between training and testing in mathematical terms. What makes a learning model able to generalize? Lecture 5 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on April 17, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
Error and Noise - The principled choice of error measures. What happens when the target we want to learn is noisy. Lecture 4 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on April 12, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
The Linear Model I - Linear classification and linear regression. Extending linear models through nonlinear transforms. Lecture 3 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on April 10, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
Is Learning Feasible? - Can we generalize from a limited sample to the entire space? Relationship between in-sample and out-of-sample. Lecture 2 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on April 5, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
The Learning Problem - Introduction; supervised, unsupervised, and reinforcement learning. Components of the learning problem. Lecture 1 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on April 3, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
Chuck Eesley wraps up the course and shares some final takeaways and pieces of advice. The key themes of turning problems into opportunities, experimentation, and iteration and the importance of teams are emphasized.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Chuck Eesley discusses fundraising. In this video, he talks about the economics, structure, and types of venture capital firms and the process of raising money from VC firms.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Chuck Eesley discusses venture financing and raising money. In this video, pre and post-money valuation along with dilution are discussed with example calculations.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Chuck Eesley discusses venture financing and raising money. The three main topics covered are the amount of funding, the structure of the deal, and sources of capital.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Fergus Hurley, a founder of Focal Labs, discusses entrepreneurship, the role on the founding team, and the importance of networking and work experience for building the startup team.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Clint Korver, a venture capitalist and serial entrepreneur, discusses the Board of Directors. He explains the duties and function of the board as well as the typical structure of board meetings.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Eric Case discusses starting Domainr, a domain name search engine, as a side project. He talks about his career, the inspiration for Domainr, and how they have thought about the revenue model.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Stephanie Marrus, a Silicon Valley business consultant who is affiliated with the Stanford Technology Ventures program and is a mentor for E145, discusses entrepreneurship in the life sciences. She defines life sciences as an industry, the path to test a new drug in humans, the details and funding of clinical research and trials, tech vs. life science venture characteristics, and the motivations for being a life sciences entrepreneur.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Kirsten Leute from Stanford's Office of Technology Licensing discusses how the OTL works, statistics and how to find a technology from Stanford to license into your startup.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Alex Rampell, founder and CEO of Trialpay, discusses distribution channels and partnerships. Concepts such as bidirectional relevance and channel conflict are discussed.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
Chuck Eesley discusses entrepreneurial sales, elevator pitches, and presentation skills. Sales is presented as an experimentation process in a startup firm.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Henry Wong discusses the acid test for entrepreneurs, and talks about what elements to present when thinking about raising venture capital.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Chuck Eesley discusses entrepreneurial sales and marketing, including the role of marketing in defining the target customer and how this choice then drive the go-to-market strategy. The video also goes through metrics for marketing and the role of marketing in driving customers towards the sales and distribution funnels.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Chuck Eesley discusses entrepreneurial marketing, market positioning, and go-to market strategies.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
Bjoern Herrmann and Max Marmer from the Startup Genome Project present their model and results on startup failures due to premature scaling.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Jason Freedman, founder of FlightCaster, talks about his entrepreneurial career and lessons learned. He discusses making something people want, the importance of distinguishing good and bad advice and how optimize does not equal iterate.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
Chuck Eesley continues to talk about customer acquisition as well as the lean start-up model. In this video, he tries to answer the question of why customer acquisition is so difficult, describing it as a balancing act between many different factors and encourages teams to be flexible to changes in their plan.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
Chuck Eesley discusses the customer development methodology and the business model canvas. In this video, he talks about how the scientific method can be applied to the process of entrepreneurship. Also discussed are some examples of ways to run experiments and the value of being balanced between optimism/pessimism and being persistent/flexible.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video leccture
Chuck Eesley discusses the customer development methodology and the lean startup. In the video, he talks about how the scientific method can be applied to the process of entrepreneurship.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Chuck Eesley discusses the case method style of instruction and some guidelines for analyzing cases and case discussions. He also introduces the idea of the business model which will be discussed in greater detail in the following videos.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Chuck Eesley discusses technology life cycles and technology diffusion. The typical industry cycles of product and process innovation are discussed. This video also covers some insights that technology entrepreneurs might take away from these patterns when planning their technology strategy.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
Chuck Eesley discusses how to organize productive brainstorming sessions. In this video, he covers the factors that inhibit idea production in brainstorming and how brainstorming is useful in startups.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
video lecture
Chuck Eesley discusses some of the basics of forming a founding team for an entrepreneurial venture. He stresses that without a strong central team a project will often have very little chance of success -- everyone needs to be willing to make sacrifices.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Chuck Eesley discusses entrepreneurship as a search for a repeatable, scalable business model. In this video, he discusses the group projects in the class, using the business model canvas, including creating a low-fidelity website and market size analysis.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
Chuck Eesley examines what he describes as the frameworks for entrepreneurship. He describes nine basic models and frameworks for entrepreneurship and hopes that by giving a very broad sense of what entrepreneurship is and what separates the successes from failures.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
Chuck Eesley discusses some of the popular theories on why Silicon Valley has succeeded as a startup hub.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
Chuck Eesley provides an introduction and overview of the course on Technology Entrepreneurship (ENGR 145). Including topics such as what you will learn in the class, course design and logistics, "technology entrepreneurship" defined, and other options for entrepreneurship education at Stanford.
Take the quizzes and find the rest of the course at http://eesley.blogspot.com
Stanford University:
http://www.stanford.edu/
Management Science and Engineering at Stanford:
http://www.stanford.edu/dept/MSandE
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video template
video lecture
(September 23, 2013) After a brief review of the prior Quantum Mechanics course, Leonard Susskind introduces the concept of symmetry, and present a specific example of translational symmetry.
Originally presented by the Stanford Continuing Studies Program.
Stanford University:
http://www.stanford.edu/
Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(September 30, 2013) Leonard Susskind presents an example of rotational symmetry and derives the angular momentum operator as the generator of this symmetry. He then discusses symmetry groups and Lie algebras, and shows how these concepts require that magnetic quantum numbers - i.e. spin - must have whole- or half-integer values.
Originally presented by the Stanford Continuing Studies Program.
Stanford University:
http://www.stanford.edu/
Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
(October 7, 2013) Leonard Susskind derives the energy levels of electrons in an atom using the quantum mechanics of angular momentum, and then moves on to describe the quantum mechanics of the harmonic oscillator.
Originally presented by the Stanford Continuing Studies Program.
Stanford University:
http://www.stanford.edu/
Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(October 14, 2013) Building on the previous discussion of atomic energy levels, Leonard Susskind demonstrates the origin of the concept of electron spin and the exclusion principle.
Originally presented by the Stanford Continuing Studies Program.
Stanford University:
http://www.stanford.edu/
Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
(October 21, 2013) Leonard Susskind introduces the spin statistics of Fermions and Bosons, and shows that a single complete rotation of a Fermion is not an identity operation, but rather induces a phase change that is detectable.
Originally presented by the Stanford Continuing Studies Program.
Stanford University:
http://www.stanford.edu/
Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
(October 28, 2013) Leonard Susskind introduces quantum field theory and its connection to quantum harmonic oscillators. Gravity aside, quantum field theory offers the most complete theoretical description of our universe.
Originally presented by the Stanford Continuing Studies Program.
Stanford University:
http://www.stanford.edu/
Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
(November 4, 2013) Leonard Susskind extends the presentation of quantum field theory to multi-particle systems, and derives the particle creation and annihilation operators.
Originally presented by the Stanford Continuing Studies Program.
Stanford University:
http://www.stanford.edu/
Continuing Studies Program:
http://csp.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
video lecture
video lecture
video lecture
Researchers are working on new ways of restoring plasticity in the brain after it’s damaged by stroke.
https://neuroscience.stanford.edu/
Nerve damage in the brain and the spinal cord is almost always permanent. But treatments to promote functional and behavioral healing are on the horizon as researchers begin to understand the molecules at play behind neuronal growth.
https://neuroscience.stanford.edu/
What about our brains allows us be one person at the office and a very different person at home? Professor William Newsome explains how a constant rewiring of neural connectivity enables the "socially sensitive" production of behavior.
https://neuroscience.stanford.edu/
video lecture
"In my lifetime, there has never been a moment like this one… in terms of the speed and acceleration of discovery.” William Newsome, director of the Stanford Neurosciences Institute, says new technologies are allowing researchers to make significant progress in understanding the brain.
https://neuroscience.stanford.edu/
video lecture
Karl Deisseroth at the Inaugural Symposium of Stanford Neurosciences Institute.
https://neuroscience.stanford.edu
Part of the Inaugural Symposium of Stanford Neurosciences Institute recorded on October 10, 2014.
video lecture
Closing Remarks delivered by William Newsome, Director of Stanford Neurosciences Institute at the Stanford Neurosciences Inaugural Symposium.
https://neuroscience.stanford.edu
Part of the Inaugural Symposium of Stanford Neurosciences Institute recorded on October 10, 2014.
Stanford President John Hennessy delivers the final remarks of the Symposium. He discusses the future of the Stanford Neurosciences Institute and of the Stanford University at large.
https://neuroscience.stanford.edu
Part of the Inaugural Symposium of Stanford Neurosciences Institute recorded on October 10, 2014.
video lecture
Dr. Thomas Südhof, Professor in the School of Medicine at Stanford University, discusses function of neurexins and their ligands, which are essential for synapse function and determine the properties and nature of synapses. Mutations in these molecules have been associated with autism, schizophrenia and intellectual disability, suggesting that the functions of these molecules are relevant for insight into these devastating disorders.
https://neuroscience.stanford.edu
Part of the Inaugural Symposium of Stanford Neurosciences Institute recorded on October 9 & 10, 2014.
video lecture
Professor Nita Farahany, Professor of Law & Philosophy at Duke Law School, presents several of the more salient issues that arise from the intersection of law and neuroscience. Recent scientific progress has dramatically advanced our understanding of the biological, neurological and environmental contributions to normal and deviant human behavior. Behavioral scientists have moved beyond purely descriptive scientific accounts to predictive ones by linking genetic and neurological variations to behavioral variations in the population. Dr. Farahany discusses the first comprehensive empirical study on the use of neuroscience in the U.S. criminal justice system.
https://neuroscience.stanford.edu
Part of the Inaugural Symposium of Stanford Neurosciences Institute recorded on October 10, 2014.
video lecture
Professor Carla Shatz, Professor of Biology and of Neurobiology and the Director of Bio-X at Stanford University, discusses research results that show that Major Histocompatability Class I and PirB genes, thought previously to function only in immunity, act at neuronal synapses to limit how much - or how quickly - synapse strength changes in response to new experience. Changes in their function could contribute to developmental disorders such as Schizophrenia, and even to the synapse loss in Alzheimer’s Disease.
https://neuroscience.stanford.edu
Part of the Inaugural Symposium of Stanford Neurosciences Institute recorded on October 9, 2014.
video lecture
Dr. Thomas Insel, Director of the National Institute of Mental Health (NIMH), discusses how a deeper understanding of how the human brain functions will yield new approaches to diagnostics and therapeutics, bending the curve for millions affected by mental disorders.
https://neuroscience.stanford.edu
Part of the Inaugural Symposium of Stanford Neurosciences Institute recorded on October 9, 2014.
Dr. Bruce Rosen, Professor of Radiology at Harvard Medical School, discusses how functional imaging of the human brain is evolving, allowing neuroscientists to bridge the gap between systems-level human imaging and circuit-level mechanistic neural models, and enhancing our ability to explore and better understand human neuroscience and human disease.
https://neuroscience.stanford.edu
Part of the Inaugural Symposium of Stanford Neurosciences Institute recorded on October 9, 2014.
video lecture
Professor John Rogers, Professor of Materials Science and Engineering, University of Illinois, discusses how the successful integration of optoelectronic and microfluidic systems with the brain has the potential to accelerate basic scientific discoveries and their translation into clinically relevant technologies. Professor Rogers’ research includes fundamental and applied aspects of materials for unusual electronic and photonic devices, with an emphasis on bio-integrated and bio-inspired systems.
https://neuroscience.stanford.edu
Part of the Inaugural Symposium of Stanford Neurosciences Institute recorded on October 9, 2014.
video lecture
video lecture
Opening Remarks delivered by William Newsome, Director of the Stanford Neurosciences Institute, and Ann Arvin, Vice Provost and Dean of Research for Stanford University, at the Inaugural Symposium of the Stanford Neurosciences Institute.
https://neuroscience.stanford.edu
Part of the Inaugural Symposium of Stanford Neurosciences Institute recorded on October 9, 2014.
video lecture
video lecture
In Lecture 16, guest lecturer Ian Goodfellow discusses adversarial examples in deep learning. We discuss why deep networks and other machine learning models are susceptible to adversarial examples, and how adversarial examples can be used to attack machine learning systems. We discuss potential defenses against adversarial examples, and uses for adversarial examples for improving machine learning systems even without an explicit adversary.
Keywords: Adversarial examples, Fooling images, fast gradient sign method, Clever Hans, adversarial defenses, adversarial examples in the physical world, adversarial training, virtual adversarial training, model-based optimization
Slides: http://cs231n.stanford.edu/sli....des/2017/cs231n_2017
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Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
video lecture
In Lecture 15, guest lecturer Song Han discusses algorithms and specialized hardware that can be used to accelerate training and inference of deep learning workloads. We discuss pruning, weight sharing, quantization, and other techniques for accelerating inference, as well as parallelization, mixed precision, and other techniques for accelerating training. We discuss specialized hardware for deep learning such as GPUs, FPGAs, and ASICs, including the Tensor Cores in NVIDIA’s latest Volta GPUs as well as Google’s Tensor Processing Units (TPUs).
Keywords: Hardware, CPU, GPU, ASIC, FPGA, pruning, weight sharing, quantization, low-rank approximations, binary networks, ternary networks, Winograd transformations, EIE, data parallelism, model parallelism, mixed precision, FP16, FP32, model distillation, Dense-Sparse-Dense training, NVIDIA Volta, Tensor Core, Google TPU, Google Cloud TPU
Slides: http://cs231n.stanford.edu/sli....des/2017/cs231n_2017
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Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
video lecture
Multiscale modeling is the capability of representing different levels of phenomena, occurring at diverse spatial and temporal scales, within a unified conceptual framework. A typical example is the behavior of long molecules or nanosuspensions under the action of complex hydrodynamic flows. Our computational work tackles different phenomena such as biopolymer translocation through nanopores and hemodynamics in arteries with a novel computational scheme. The solution of such large-scale problems calls for the exploitation of powerful parallel architectures, such as the Blue Gene supercomputer, and sophisticated visualization tools to gain insight into the realm of multi-scale phenomena.
In Lecture 14 we move from supervised learning to reinforcement learning (RL), in which an agent must learn to interact with an environment in order to maximize its reward. We formalize reinforcement learning using the language of Markov Decision Processes (MDPs), policies, value functions, and Q-Value functions. We discuss different algorithms for reinforcement learning including Q-Learning, policy gradients, and Actor-Critic. We show how deep reinforcement learning has been used to play Atari games and to achieve super-human Go performance in AlphaGo.
Keywords: Reinforcement learning, RL, Markov decision process, MDP, Q-Learning, policy gradients, REINFORCE, actor-critic, Atari games, AlphaGo
Slides: http://cs231n.stanford.edu/sli....des/2017/cs231n_2017
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Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
video lecture
The development of new technologies that acquire large amounts of complex data is accelerating throughout medicine. Corresponding breakthroughs in accessible computation and algorithm development have made image analysis an indispensable tool for medical research and clinical practice. For example, image analysis enables the data acquired using diffusion tensor imaging (DTI) and functional magnetic resonance (fMRI) to reveal subject-specific structure and function of the brain.
The emerging field of medical image computing requires strong, interdisciplinary teams of researchers, physicians, and engineers. Building such teams is a challenge but ultimately rewarding process. The Surgical Planning Lab at Brigham and Women's Hospital was founded in 1990 to enable research in image computation within the hospital context. Today, the SPL is the hub of the National Alliance for Medical Image Computing, a national effort with international impact across biomedicine and, increasingly, other fields of science. NAMIC drives scientific and engineering innovation through interdisciplinary collaboration, application-driven development, a well-designed hardware and software infrastructure, and an open-source approach to dissemination and community building.
This presentation will describe how research ideas evolve into useful medical and scientific tools within the SPL and NAMIC environments.
In Lecture 13 we move beyond supervised learning, and discuss generative modeling as a form of unsupervised learning. We cover the autoregressive PixelRNN and PixelCNN models, traditional and variational autoencoders (VAEs), and generative adversarial networks (GANs).
Keywords: Generative models, PixelRNN, PixelCNN, autoencoder, variational autoencoder, VAE, generative adversarial network, GAN
Slides: http://cs231n.stanford.edu/sli....des/2017/cs231n_2017
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Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
video lecture
In Lecture 12 we discuss methods for visualizing and understanding the internal mechanisms of convolutional networks. We also discuss the use of convolutional networks for generating new images, including DeepDream and artistic style transfer.
Keywords: Visualization, t-SNE, saliency maps, class visualizations, fooling images, feature inversion, DeepDream, style transfer
Slides: http://cs231n.stanford.edu/sli....des/2017/cs231n_2017
--------------------------------------------------------------------------------------
Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
Mathematical formulation of multiscale/physics problems
video lecture
In Lecture 11 we move beyond image classification, and show how convolutional networks can be applied to other core computer vision tasks. We show how fully convolutional networks equipped with downsampling and upsampling layers can be used for semantic segmentation, and how multitask losses can be used for localization and pose estimation. We discuss a number of methods for object detection, including the region-based R-CNN family of methods and single-shot methods like SSD and YOLO. Finally we show how ideas from semantic segmentation and object detection can be combined to perform instance segmentation.
Keywords: Semantic segmentation, fully convolutional networks, unpooling, transpose convolution, localization, multitask losses, pose estimation, object detection, sliding window, region proposals, R-CNN, Fast R-CNN, Faster R-CNN, YOLO, SSD, DenseCap, instance segmentation, Mask R-CNN
Slides: http://cs231n.stanford.edu/sli....des/2017/cs231n_2017
--------------------------------------------------------------------------------------
Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
video lecture
Metadynamics techniques
video lecture
In Lecture 10 we discuss the use of recurrent neural networks for modeling sequence data. We show how recurrent neural networks can be used for language modeling and image captioning, and how soft spatial attention can be incorporated into image captioning models. We discuss different architectures for recurrent neural networks, including Long Short Term Memory (LSTM) and Gated Recurrent Units (GRU).
Keywords: Recurrent neural networks, RNN, language modeling, image captioning, soft attention, LSTM, GRU
Slides: http://cs231n.stanford.edu/sli....des/2017/cs231n_2017
--------------------------------------------------------------------------------------
Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
Microfluidics and turbulence
video lecture
In Lecture 9 we discuss some common architectures for convolutional neural networks. We discuss architectures which performed well in the ImageNet challenges, including AlexNet, VGGNet, GoogLeNet, and ResNet, as well as other interesting models.
Keywords: AlexNet, VGGNet, GoogLeNet, ResNet, Network in Network, Wide ResNet, ResNeXT, Stochastic Depth, DenseNet, FractalNet, SqueezeNet
Slides: http://cs231n.stanford.edu/sli....des/2017/cs231n_2017
--------------------------------------------------------------------------------------
Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
In Lecture 8 we discuss the use of different software packages for deep learning, focusing on TensorFlow and PyTorch. We also discuss some differences between CPUs and GPUs.
Keywords: CPU vs GPU, TensorFlow, Keras, Theano, Torch, PyTorch, Caffe, Caffe2, dynamic vs static computational graphs
Slides: http://cs231n.stanford.edu/sli....des/2017/cs231n_2017
--------------------------------------------------------------------------------------
Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
Boltzmann approach to turbulence modeling; Macro-Atomistic-Ab initio-Dynamics approach to fracture dynamics
Multiscale Methods: Mathematical formulation; computational procedure
Lecture 7 continues our discussion of practical issues for training neural networks. We discuss different update rules commonly used to optimize neural networks during training, as well as different strategies for regularizing large neural networks including dropout. We also discuss transfer learning and finetuning.
Keywords: Optimization, momentum, Nesterov momentum, AdaGrad, RMSProp, Adam, second-order optimization, L-BFGS, ensembles, regularization, dropout, data augmentation, transfer learning, finetuning
Slides: http://cs231n.stanford.edu/sli....des/2017/cs231n_2017
--------------------------------------------------------------------------------------
Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
video lecture
Microfluidics: The Moving Contact Line Problem and Nanofluids: Biopolymer Translocation Through Nanopores
Modern science is increasingly faced with problems of ever greater complexity, straddling across the traditional disciplinary boundaries between physics, chemistry, material science and biology. Computational science is responding to this challenge with a steadfast development of innovative modeling techniques, designed in such a way as to offer an optimal handling of the information transfer procedures connecting the different scales/levels involved in the quantitative description of the aforementioned complex phenomena. This entails the seamless coupling between different mathematical representations of various physical phenomena at widely disparate scales, from continuum fields to probability distribution functions and atomistic trajectories, all the way down to many-body quantum wave functions. In this series of lectures, we shall provide an introduction to the basic ideas behind these triple-M (multiscale/multiphysics/multilevel) techniques, together with the illustration of a few practical examples, drawn from concrete applications in leading areas of multiphysics research, such as micro/nanofluidics, turbulence and material science.
In Lecture 6 we discuss many practical issues for training modern neural networks. We discuss different activation functions, the importance of data preprocessing and weight initialization, and batch normalization; we also cover some strategies for monitoring the learning process and choosing hyperparameters.
Keywords: Activation functions, data preprocessing, weight initialization, batch normalization, hyperparameter search
Slides: http://cs231n.stanford.edu/sli....des/2017/cs231n_2017
--------------------------------------------------------------------------------------
Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
video lecture
April 8, 2009 - Patrick Wolfe, Associate Professor of Electrical Engineering, Statistics and Information Sciences Laboratory, School of Engineering and Applied Science, Harvard University
Modern science and engineering applications give rise to the vast quantities of high-dimensional data. This talk will provide a broad research perspective on the challenges and opportunities of drawing inferences from such data sets. For the large collections of sounds, images and networks acquired by modern sensing devices, traditional signal processing techniques singularly fail to scale, and new approaches are needed. Among the problems to be considered are forensic speech analysis, digital camera design and data reduction for large networks. Can we build practical solutions for these new contexts using the algorithms and tools of classical statistics?
Alyssa Goodman, IIC Founding Director, Harvard-Smithsonian Center for Astrophysics.
Most scientists draw pictures to communicate their ideas to each other. Goodman's work on star formation, along with work in other fields, reveals that he seemingly qualitative world of pictures often leads to quantitative insight. This talk will tell how and why the Astronomical Medicine group at the IIC adapted medical imaging software for use on astronomical data, producing results encapsulated in the first interactive "3D PDF" published in Nature. The speaker will also discuss her continuing collaboration with Microsoft Research on the "WorldWide Telescope" and conclude with thoughts on general principles of data visualization, and how clarification of those principles helps both the public and scientists to learn more from scientific investigations.
December 10, 2007 -- Gary King, Harvard University
We introduce a set of integrated developments in web application software, networking, data citation standards, and statistical methods designed to put some of the universe of data and data sharing practices on somewhat firmer ground. We have focused on social science data, but aspects of what we have developed may apply more widely. The idea is to facilitate the public distribution of persistent, authorized, and verifiable data, with powerful but easy-to-use technology, even when the data are confidential or proprietary. We intend to solve some of the sociological problems of data sharing via technological means, with the result intended to benefit both the scientific community and sometimes apparently contradictory goals of individual researchers.
video lecture
In Lecture 5 we move from fully-connected neural networks to convolutional neural networks. We discuss some of the key historical milestones in the development of convolutional networks, including the perceptron, the neocognitron, LeNet, and AlexNet. We introduce convolution, pooling, and fully-connected layers which form the basis for modern convolutional networks.
Keywords: Convolutional neural networks, perceptron, neocognitron, LeNet, AlexNet, convolution, pooling, fully-connected layers
Slides: http://cs231n.stanford.edu/sli....des/2017/cs231n_2017
--------------------------------------------------------------------------------------
Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
video lecture
May 31, 2006 - Isaac Kohane, Lawrence J. Henderson Associate Professor of Pediatrics and Health Sciences and Technology; Associate Professor of Medicine, HMS/Children's Hospital
Autism Spectrum Disorder (ASD) is a socio-cognitive disorder which has a high (up to 1% by some estimates) prevalence in our society. More controversially, ASD is reported to be on the increase. Less controversially, ASD is known to have a strong inherited component as well as an environmental component. And yet, despite decades of research, precious little is understood about the causes of this disorder and existing therapies are often unsatisfactory. Notwithstanding, the genomic revolution offers the potential for some novel insights and therapies. The seminar will review the challenges and the solutions that computational approaches bring to a systematic understanding of ASD. The integrative role of computing in synthesizing insights from the genome, bibliome, imaging and other measurement modalities is reviewed and a broader role for computing in the investigation of complex diseases is proposed.
In Lecture 4 we progress from linear classifiers to fully-connected neural networks. We introduce the backpropagation algorithm for computing gradients and briefly discuss connections between artificial neural networks and biological neural networks.
Keywords: Neural networks, computational graphs, backpropagation, activation functions, biological neurons
Slides: http://cs231n.stanford.edu/sli....des/2017/cs231n_2017
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Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
video lecture
Lecture 3 continues our discussion of linear classifiers. We introduce the idea of a loss function to quantify our unhappiness with a model’s predictions, and discuss two commonly used loss functions for image classification: the multiclass SVM loss and the multinomial logistic regression loss. We introduce the idea of regularization as a mechanism to fight overfitting, with weight decay as a concrete example. We introduce the idea of optimization and the stochastic gradient descent algorithm. We also briefly discuss the use of feature representations in computer vision.
Keywords: Image classification, linear classifiers, SVM loss, regularization, multinomial logistic regression, optimization, stochastic gradient descent
Slides:
http://cs231n.stanford.edu/sli....des/2017/cs231n_2017
--------------------------------------------------------------------------------------
Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
video lecture
Lecture 2 formalizes the problem of image classification. We discuss the inherent difficulties of image classification, and introduce data-driven approaches. We discuss two simple data-driven image classification algorithms: K-Nearest Neighbors and Linear Classifiers, and introduce the concepts of hyperparameters and cross-validation.
Keywords: Image classification, K-Nearest Neighbor, distance metrics, hyperparameters, cross-validation, linear classifiers
Slides:
http://cs231n.stanford.edu/sli....des/2017/cs231n_2017
--------------------------------------------------------------------------------------
Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
We continue to explore Markov chains, and show how Google PageRank can be understood in terms of a natural Markov chain on the web.
We continue to explore Markov chains, and discuss irreducibility, recurrence and transience, reversibility, and random walk on an undirected network.
Lecture 1 gives an introduction to the field of computer vision, discussing its history and key challenges. We emphasize that computer vision encompasses a wide variety of different tasks, and that despite the recent successes of deep learning we are still a long way from realizing the goal of human-level visual intelligence.
Keywords: Computer vision, Cambrian Explosion, Camera Obscura, Hubel and Wiesel, Block World, Normalized Cut, Face Detection, SIFT, Spatial Pyramid Matching, Histogram of Oriented Gradients, PASCAL Visual Object Challenge, ImageNet Challenge
Slides: http://cs231n.stanford.edu/sli....des/2017/cs231n_2017
--------------------------------------------------------------------------------------
Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
We introduce Markov chains -- a very beautiful and very useful kind of stochastic process -- and discuss the Markov property, transition matrices, and stationary distributions.
We introduce several important offshoots of the Normal: the Chi-Square, Student-t, and Multivariate Normal distributions.
We introduce and prove versions of the Law of Large Numbers and Central Limit Theorem, which are two of the most famous and important theorems in all of statistics.
We consider the sum of a random number of random variable (e.g., with customers in a store). We then introduce 4 useful inequalities: Cauchy-Schwarz, Jensen, Markov, and Chebyshev.
We show how to think about a conditional expectation E(Y|X) of one r.v. given another r.v., and discuss key properties such as taking out what's known, Adam's Law, and Eve's Law, with examples.
We peek further into the Two Envelope Paradox, and continue to explore conditional expectation, while considering waiting for HT vs. waiting for HH, in flips of a fair coin.
We show how Beta and Gamma are connected (via the bank-post office story), and introduce order statistics. We then start on conditional expectation, with a peek inside the Two Envelope Paradox.
We introduce the Gamma distribution and discuss the connection between the Gamma distribution and Poisson processes.
We introduce the Beta distribution and show how it is the conjugate prior for the Binomial, and discuss Bayes' billiards. Stephen Blyth then gives examples of how probability is used in finance.
We discuss transformations of r.v.s (change of variables), the LogNormal distribution, and convolutions (sums). As a bonus, we show how in certain problems one can use probability to prove existence.
We introduce covariance and correlation, and show how to obtain the variance of a sum, including the variance of a Hypergeometric random variable.
We introduce the Multinomial distribution, which is arguably the most important multivariate discrete distribution, and discuss its story and some of its nice properties, such as being able to "lump" categories together. We also do an example with the Cauchy distribution.
Note: Around 7:39, a factor of the square root of 2 was accidentally
dropped; the result should be 2 over the square root of pi, rather
than the square root of 2 over pi.
We discuss joint, conditional, and marginal distributions (continuing from Lecture 18), the 2-D LOTUS, the fact that E(XY)=E(X)E(Y) if X and Y are independent, the expected distance between 2 random points, and the chicken-egg problem.
video lecture
We use MGFs to get moments of Exponential and Normal distributions, and to get the distribution of a sum of Poissons. We also start on joint distributions.
We introduce moment generating functions (MGFs), which have many uses in probability. We also discuss Laplace's rule of succession and the "hybrid" version of Bayes' rule.
P.s.: Please find document links below!!
Jason Riggs explains instruments.
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides, code and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
All programming assignments will be subsequently published on my GitHub page:
https://github.com/MichelDeiman
Vedio lactures
We introduce the Exponential distribution, which is characterized by the memoryless property.
Note: This lecture video is shorter than the other Stat 110 lecture
videos, since the first part of class that day was devoted to giving
back and discussing the midterm exam.
Vedio lactures
We work through some extra examples, such as the coupon collector problem, an example of Universality of the Uniform, an example of LOTUS, and a Poisson process example.
P.s.: Please find document links below!!
Paul Hegarty introduces Core Motion – detecting the position and movement of the device – and then does a demo with Gravity-Driven Playing Card. He then covers taking pictures within your app.
Note: A link to the demo code from this presentation is included within the slide deck for lecture 17.
Topics Include: Core Motion, CMMotionManager, Accelerometer, Gyro, Magnetometer, accelerometerData, CMAcceleration, CMDeviceMotion, Activity Monitoring, CMMotionActivityManager, Pedometer, Altimeter, UIImagePickerController, UIImageWriteToSavedPhotosAlbum, PHPhotoLibrary, AVCaptureDevice, cameraOverlayView, showsCameraControls, cameraViewTransform, Processing Images
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
All programming assignments will be subsequently published on my GitHub page:
https://github.com/MichelDeiman
Visit the course website: http://cryo-em-course.caltech.edu
Learn more about the Jensen Lab: http://www.jensenlab.caltech.edu
Produced in association with Caltech Academic Media Technologies. ©2015 California Institute of Technology
We discuss location and scale, and standardization. We also make a conscious effort to describe the Law of the Unconscious Statistician (LOTUS), and use it to obtain the variance of a Poisson.
P.s.: Please find document links below!!
Paul Hegarty talks about modal, popover, unwind, and embed segues.
Topics Include: Segues, Modal View Controllers, performSegue, present, dismiss, modalPresentationStyle, modalTransitionStyle, Popover, prepare, Popover Presentation Controller, adaptivePresentationStyle, presentationController, preferredContentSize, Unwind, Embed, Container View.
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
All programming assignments will be subsequently published on my GitHub page:
https://github.com/MichelDeiman
We introduce the Normal distribution, which is the most famous, important, and widely-used distribution in all of statistics.
We compare discrete vs. continuous distributions, and discuss probability density functions (PDFs), variance, standard deviation, and the Uniform distribution.
P.s.: Please find document links below!!
Paul Hegarty covers alerts and action sheets, notifications and KVO, and the application lifecycle.
Note: A link to the demo code from this presentation is included within the slide deck for lecture 15.
Topics Include: Alerts, Action Sheets, UIAlertController, .actionSheet, addAction, UIAlertAction, Notifications, NotificationCenter, Notification.Name, KVO, Application Lifecycle, UIApplicationDidFinishLaunching, UIApplicationWillResignActive, UIApplicationDidBecomeActive, UIApplicationDidEnterBackground, UIApplicationWillEnterForeground, UIApplicationDelegate, UIApplication, Info.plist
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
All programming assignments will be subsequently published on my GitHub page:
https://github.com/MichelDeiman
We introduce the Poisson distribution, which is arguably the most important discrete distribution in all of statistics. We explore its uses as an approximate distribution and its connections with the Binomial.
P.s.: Please find document links below!!
Paul Hegarty extends his coverage of Documents. He then does a demonstration of using Codable to create a JSON representation, storing it in the filesystem then letting UIDocument store it instead, and then using UIDocumentBrowserViewController to choose/create/rename/move documents.
Note: A link to the demo code from this presentation is included within the slide deck for lecture 14.
Topics Include: UIDocumentBrowserViewController
(Complete Programming Project 6.)
-------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
All programming assignments will be subsequently published on my GitHub page:
https://github.com/MichelDeiman
We prove linearity of expectation, solve a Putnam problem, introduce the Negative Binomial distribution, and consider the St. Petersburg Paradox.
We discuss expected values and the meaning of means, and introduce some very useful tools for finding expected values: indicator r.v.s, linearity, and symmetry. The fundamental bridge connects probability and expectation. We also introduce the Geometric distribution.
P.s.: Please find document links below!!
Paul Hegarty continues his demo of Emoji Art where he implements UITextField to add more Emoji. He then introduces persistence.
Note: A link to the demo code from this presentation is included within the slide deck for lecture 13.
Topics Include: UITextField, UserDefaults, Property List, Archiving and Codable, File System, FileManager, Core Data, NSManagedObjectContext, Querying, Cloud Kit, iCloud, UIDocument, UIDocumentBrowserViewController.
-------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
All programming assignments will be subsequently published on my GitHub page:
https://github.com/MichelDeiman
Much of this course is about random variables and their distributions. The relationship between a random variable and its distribution can seem subtle but it is essential! We discuss distributions, cumulative distribution functions (CDFs), probability mass functions (PMFs), and the Hypergeometric distribution.
P.s.: Please find document links below!!
Paul Hegarty continues his demo of EmojiArt. He then covers editable text input control with UITextField.
Note: A link to demo code from this presentation is included within the slides for Lecture 12.
Topics Include:
UITextField, becomeFirstResponder, resignFirstResponder, textFieldShouldReturn, textFieldDidEndEditing, Keyboard, UITextInputTraits, autocapitalizationType, UITextAutocapitalizationType, autocorrectionType, UITextAutocorrectionType, returnKeyType, UIReturnKeyType, isSecureTextEntry, keyboardType, UIKeyboardType, inputAccessoryView, theKeyboardAppeared, clearsOnBeginEditing, adjustsFontSizeToFitWidth, minimumFontSize, placeholder, background/disabledBackground, defaultTextAttributes
(Complete Programming Project 5 now! - See my Google drive.)
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
All programming assignments will be subsequently published on my GitHub page:
https://github.com/MichelDeiman
We continue further with conditional probability, and discuss the law of total probability, the so-called prosecutor's fallacy, a disease testing example, and the crucial distinction between independence and conditional independence.
P.s.: Please find document links below!!
Paul Hegarty lectures about drag and drop – transferring information around within and between apps – and demonstrates applying it in a demonstration of EmojiArt. He then introduces UITableView and UICollectionView.
Note: A link to the demo code from this lecture is included within the Lecture 11 Slides.
Topics Include:
Drag and Drop, Interactions, dragInteraction, dragItem, dropInteraction, UITableView, UICollectionView, CollectionViewDataSource, UITableViewCell, Cell Reuse, Cell Creation, cellForRowAt, Loading Up Cells, Table View Segues, Collection View Segues, collectionView, Table View Headers, Collection View Headers.
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
All programming assignments will be subsequently published on my GitHub page:
https://github.com/MichelDeiman
We introduce conditional probability, independence of events, and Bayes' rule.
We discuss the birthday problem (how many people do you need to have a 50% chance of there being 2 with the same birthday?), the matching problem (de Montmort), inclusion-exclusion, and properties of probability.
P.s.: Please find document links below!!
Junjie Ke covers Github and the source control workflow.
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
All programming assignments will be subsequently published on my GitHub page:
https://github.com/MichelDeiman
We fill in the "Bose-Einstein" entry of the sampling table, and discuss story proofs. For example, proving Vandermonde's identity with a story is easier and more insightful than going through a tedious algebraic derivation. We then introduce the axioms of probability.
P.s.: Please find document links below!!
Paul Hegarty covers multithreading and then demonstrates with a multithreaded Cassini. He then introduces autolayout.
Note: A link to the demo code from this presentation is included within the slide deck for lecture 10.
Topics Include:
Multithreading, Queues, Main Queue, Global Queues, mainQueue, DispatchQueue.global, async, sync, OperationQueue, Operation, Timing, Autolayout, Review, Size Classes, .compact, .regular.
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
All programming assignments will be subsequently published on my GitHub page:
https://github.com/MichelDeiman
https://github.com/MichelDeiman/CS193P-iOS11-Lecture-10-Multithreading
https://github.com/MichelDeiman/CS193P-iOS11-Lecture-10-AutoLayout
We introduce sample spaces and the naive definition of probability (we'll get to the non-naive definition later). To apply the naive definition, we need to be able to count. So we introduce the multiplication rule, binomial coefficients, and the sampling table (for sampling with/without replacement when order does/doesn't matter).
P.s.: Please find document links below!!
Paul Hegarty delves into the view controller lifecycle – keeping track of what's happening in your Controller as it goes through its lifetime – and then demonstrates putting print()s into the multiple-MVC version of Concentration. He then covers scroll view.
Note: A link to demo code from this presentation is included within the slide deck for lecture 9.
Topics Include:
View Controller Lifecycle, viewDidLoad, viewWillAppear, viewDidAppear, viewWillDisappear, viewDidDisappear, viewWillLayoutSubviews, viewDidLayoutSubviews, viewWillTransition, didReceiveMemoryWarning, awakeFromNib, UIScrollView, Subviews, contentSize, scrollRectToVisible, Zooming
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
All programming assignments will be subsequently published on my GitHub page:
https://github.com/MichelDeiman
https://github.com/MichelDeiman/CS193P-iOS11-Lecture-9-ViewController-LifeCycle-and-ScrollViews
Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point query.
Zeta transform, Möbius inversion, streaming algorithms, necessity of randomization and approximation, distinct elements.
More efficient exponential-time algorithms: exponential divide-and-conquer (TSP), pruned brute force (3-SAT), Schöning's algorithm (3-SAT), inclusion-exclusion (k-colorability).
Heavy-light decomposition, O(log2n) amortized analysis of link-cut trees, min cost max flow, min cost circulation, shortest augmenting paths.
Preferred path decomposition, link-cut trees.
P.s.: Please find document links below!!
Paul Hegarty continues his coverage of Animation.
Note: A link to the demo code from this presentation is included within the slide deck for lecture 8.
Topics Include: UIViewPropertyAnimator, Transitions, Dynamic Animator, frame, center, bounds, transform, alpha, backgroundColor, UIViewAnimationOptions, UIDynamicItem, UIGravityBehavior, UIAttachmentBehavior, UICollisionBehavior, UISnapBehavior, UIPushBehavior, UIDynamicItemBehavior, UIDynamicBehavior, UIDynamicAnimator, Stasis, Memory Cycle Avoidance, Closure Capture
(Complete Programming Project 4 now! - See my Google drive.)
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
All programming assignments will subsequently be posted on my GitHub page:
https://github.com/MichelDeiman
https://github.com/MichelDeiman/CS193P-iOS11-Lecture-8-Animation
Scaling for max flow, blocking flow.
Linear programming via multiplicative weights, flows, augmenting paths.
P.s.: Please find document links below!!
Paul Hegarty begins with an explanation of multiple MVCs and demonstrates Theme Chooser in Concentration. He then introduces timer and animation.
Topics Include: Multiple MVCs, UITabBarController, UISplitViewController, UINavigationController, Pushing, Popping, Segues, Timer, scheduledTimer, Tolerance, UIView Animation, frame, center, bounds, transform, alpha, backgroundColor.
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
All programming assignments will subsequently be posted on my GitHub page:
https://github.com/MichelDeiman
https://github.com/MichelDeiman/CS193P-iOS11-Lecture-7-Multiple-MVCs-Timer-and-Animation
Learning from experts, multiplicative weights.
second order methods (Newton's method), path-following interior point wrap-up.
Path-following interior point, first order methods (gradient descent).
Simplex wrap-up, strong duality, complementary slackness, ellipsoid, intro to interior point.
Lecture 18 looks at tackling the limits of deep learning for NLP followed by a few presentations.
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
Lecture 17 looks at solving language, efficient tree-recursive models SPINN and SNLI, as well as research highlight "Learning to compose for QA." Also covered are interlude pointer/copying models and sub-word and character-based models.
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
linear programming: standard form, vertices, bases, simplex.
Lecture 16 addresses the question ""Can all NLP tasks be seen as question answering problems?"".
Key phrases: Coreference Resolution, Dynamic Memory Networks for Question Answering over Text and Images
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
Lecture 15 covers what is coreference via a working example. Also includes research highlight "Summarizing Source Code", an introduction to coreference resolution and neural coreference resolution.
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
Lecture 14 looks at compositionality and recursion followed by structure prediction with simple Tree RNN: Parsing. Research highlight ""Deep Reinforcement Learning for Dialogue Generation"" is covered is backpropagation through Structure.
Key phrases: RNN, Recursive Neural Networks, MV-RNN, RNTN
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
Guest lecture: Rong Ge.
FPTAS (knapsack), FPRAS (DNF counting), semidefinite programming, Goemans-Williamson MAXCUT algorithm.
Lecture 13 provides a mini tutorial on Azure and GPUs followed by research highlight "Character-Aware Neural Language Models." Also covered are CNN Variant 1 and 2 as well as comparison between sentence models: BoV, RNNs, CNNs.
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
Approximation algorithms via dual fitting (wrap-up), LP integrality gaps, definitions of PTAS/FPTAS/FPRAS, PTAS for knapsack.
Lecture 12 looks at traditional speech recognition systems and motivation for end-to-end models. Also covered are Connectionist Temporal Classification (CTC) and Listen Attend and Spell (LAS), a sequence-to-sequence based model for speech recognition.
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
Online primal/dual: e/(e-1) ski rental, set cover; approximation algorithms via dual fitting: set cover.
Lecture 11 provides a final look at gated recurrent units like GRUs/LSTMs followed by machine translation evaluation, dealing with large vocabulary output, and sub-word and character-based models. Also includes research highlight ""Lip reading sentences in the wild.""
Key phrases: Seq2Seq and Attention Mechanisms, Neural Machine Translation, Speech Processing
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
Randomized paging, packing/covering linear programs, weak duality, approximate complementary slackness, primal/dual online algorithms (2-competitive deterministic ski rental).
Online algorithms, competitive analysis, move-to-front, paging.
Splay trees.
Lecture 10 introduces translation, machine translation, and neural machine translation. Google's new NMT is highlighted followed by sequence models with attention as well as sequence model decoders.
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
Amortized analysis, binomial heaps, Fibonacci heaps.
Hashing: cuckoo hashing analysis, power of two choices.
This midterm review session covers work vectors representations, neural networks and RNNs. Also reviewed is backpropagation, gradient calculation and dependency parsing.
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
Symmetrization, hashing: linear probing (5-wise indep.), bloom filters, cuckoo hashing, bloomier filters.
Lecture 9 recaps the most important concepts and equations covered so far followed by machine translation and fancy RNN models tackling MT.
Key phrases: Language Models. RNN. Bi-directional RNN. Deep RNN. GRU. LSTM.
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
Hashing: load balancing, k-wise independence, chaining, linear probing.
Lecture 8 covers traditional language models, RNNs, and RNN language models. Also reviewed are important training problems and tricks, RNNs for other sequence tasks, and bidirectional and deep RNNs.
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
Fusion trees, word-level parallelism, most significant set bit in constant time.
Logistics, course topics, word RAM, predecessor, van Emde Boas, y-fast tries.
Please see Problem 1 of Assignment 1
at http://people.seas.harvard.edu..../~minilek/cs224/fall for
a corrected analysis of the space complexity of van Emde Boas trees
00:00:00 - Introduction
00:01:13 - Deploying
00:04:03 - Testing
00:05:11 - Test Pyramid
00:06:06 - Unit Tests
00:13:00 - Jest
00:22:08 - Jest: Testing Redux Actions
00:39:35 - Jest: Testing Async Redux Actions
01:08:46 - Testing Explained
01:14:45 - Jest: Testing Redux Reducers
01:22:40 - Integration Tests
01:35:36 - Code Coverage
01:38:29 - End-To-End Tests
01:39:53 - In Conclusion
00:00:00 - Introduction
00:01:32 - Performance
00:02:03 - Trade-Offs
00:02:52 - Measuring Performance
00:18:24 - Common Inefficiencies
00:18:41 - Rerendering Too Often
00:46:11 - Unnecessarily Changing Props
01:00:40 - Unnecessary Logic in Mount/Update
01:04:05 - Reminder: Trade-Offs
01:04:59 - Animations
01:26:01 - Animated
01:43:46 - In Conclusion
00:00:00 - Introduction
00:01:13 - react-redux Review
00:07:48 - Supporting Async Requests
00:33:26 - Redux Middleware
01:15:21 - Persisting State
01:16:34 - redux-persist
01:23:14 - Container vs. Presentational Components
01:25:45 - Do I Need Redux?
01:29:15 - JavaScript Tools
01:31:50 - ESLint
01:38:44 - Prettier
00:00:00 - Introduction
00:01:25 - Scaling Complexity
00:02:28 - Facebook and MVC
00:05:44 - Flux
00:09:48 - Redux
00:13:07 - simpleRedux
00:13:26 - Reducer
00:20:28 - Store
00:35:44 - Action
01:10:10 - From simpleRedux to Redux
01:38:45 - Higher-Order Components
00:00:00 - Introduction
00:00:47 - Expo
00:03:54 - Maps and Location
00:26:10 - Text or Delete
00:39:16 - A Compass
00:54:37 - A Multimedia Board
01:20:36 - A Photo Editor
01:45:42 - Other APIs
Lecture 7 covers Tensorflow. TensorFlow is an open source software library for numerical computation using data flow graphs. It was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research.
Key phrases: TensorFlow.
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
Lecture 6 covers dependency parsing which is the task of analyzing the syntactic dependency structure of a given input sentence S. The output of a dependency parser is a dependency tree where the words of the input sentence are connected by typed dependency relations.
Key phrases: Dependency Parsing.
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
Lecture 5 discusses how neural networks can be trained using a distributed gradient descent technique known as back propagation.
Key phrases: Neural networks. Forward computation. Backward propagation. Neuron Units. Max-margin Loss. Gradient checks. Xavier parameter initialization. Learning rates. Adagrad.
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
Lecture 4 introduces single and multilayer neural networks, and how they can be used for classification purposes.
Key phrases: Neural networks. Forward computation. Backward propagation. Neuron Units. Max-margin Loss. Gradient checks. Xavier parameter initialization. Learning rates. Adagrad.
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
Lecture 3 introduces the GloVe model for training word vectors. Then it extends our discussion of word vectors (interchangeably called word embeddings) by seeing how they can be evaluated intrinsically and extrinsically. As we proceed, we discuss the example of word analogies as an intrinsic evaluation technique and how it can be used to tune word embedding techniques. We then discuss training model weights/parameters and word vectors for extrinsic tasks. Lastly we motivate artificial neural networks as a class of models for natural language processing tasks.
Key phrases: Global Vectors for Word Representation (GloVe). Intrinsic and extrinsic evaluations. Effect of hyperparameters on analogy evaluation tasks. Correlation of human judgment with word vector distances. Dealing with ambiguity in word using contexts. Window classification.
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://online.stanford.edu/
00:00:00 - Introduction
00:01:34 - Data
00:04:44 - APIs
00:06:47 - randomuser.me
00:10:26 - Making Network Requests
00:11:58 - Promises
00:15:18 - Async/Await
00:20:09 - Contacts with an API
00:31:33 - Transforming Data
00:46:49 - Authentication
00:50:59 - HTTP Methods
01:07:56 - HTTP Response Codes
01:26:20 - React API
01:39:00 - In Conclusion
00:00:00 - Introduction
00:01:30 - What Is Navigation?
00:05:09 - React Navigation and Alternatives
00:06:47 - Install React Navigation
00:07:47 - Navigators, Routes, and Screen Components
00:09:56 - Switch Navigator
00:10:43 - Creating a Navigator
00:11:01 - Rendering a Navigator
00:11:29 - Higher Order Components
00:12:31 - Navigating to Another Route
00:13:01 - The Navigation Prop
00:13:36 - Switch Navigator Example
00:27:48 - screenProps
00:30:44 - Stack Navigator
00:33:17 - Creating a StackNavigator
00:33:37 - Returning to the Previously Active Route
00:33:55 - StackNavigator Example
00:35:36 - Configuring navigationOptions
00:38:18 - Passing Around State
00:48:24 - Using the StackNavigator
00:51:19 - Adding a Button
01:05:55 - push
01:06:40 - Stack-specific Navigation Options
01:07:07 - Composing Navigators
01:13:09 - Tab Navigators
00:00:00 - Introduction
00:01:25 - User Input
00:04:34 - Handling Multiple Inputs
00:11:16 - Validating Input
00:36:18 - KeyboardAvoidingView
00:47:03 - Debugging
00:47:44 - React Errors and Warnings
00:51:38 - Chrome Devtools
01:13:43 - React Native Inspector
01:17:56 - react-devtools
01:24:22 - External Libraries
00:00:00 - Introduction
00:01:36 - Lists
00:02:29 - ScrollView
00:03:01 - contacts.js
00:12:01 - App.js
00:18:04 - map
00:27:06 - Row
00:41:01 - FlatList
01:04:11 - SectionList
01:32:31 - User Input
00:00:00 - Introduction
00:00:56 - React Native
00:02:38 - UI/JS Bridge
00:04:04 - snack.expo.io
00:07:52 - Differences Between React Native and the Web
00:09:09 - React Native Components
00:10:41 - todoApp4.js
00:15:47 - Style
00:21:17 - StyleSheet
00:24:51 - Event Handling
00:32:05 - Components
00:33:15 - Stateless Functional Component (SFC)
00:34:12 - React.Component
00:36:42 - Component Lifecycle
00:38:06 - Mount
00:49:55 - Update
00:58:20 - Unmount
01:09:14 - Expo
01:14:26 - Import/Export
01:27:07 - PropTypes
01:34:49 - How to Read Docs
00:00:00 - Introduction
00:00:56 - Classes
00:04:25 - Set.js
00:11:49 - extends
00:14:22 - React
00:15:12 - Imperative vs. Declarative
00:21:14 - React is Declarative
00:24:10 - React Components
00:29:38 - React Performance
00:31:07 - Writing React
00:32:56 - Props
00:34:12 - codesandbox.io
00:40:43 - State
00:56:04 - todoApp0.js
00:58:27 - todoApp1.js
00:59:23 - todoApp2.js
01:00:53 - todoApp3.js
01:04:32 - Todo List in React
01:11:46 - addTodo
01:18:26 - removeTodo
01:26:10 - toggleTodo
01:36:35 - React Native Teaser
P.s.: Please find document links below!!
Paul Hegarty continues his PlayingCard demonstration on views. He then introduces gestures and concludes with a demo on swiping, tapping and pinching.
Note: A link to the demo code used in this video can be found in the lecture slides.
Topics Include: Views, Gestures, didset, target, action, UIPanGestureRecognizer, UIPinchGestureRecognizer, UIRotationGestureRecognizer, UISwipeGestureRecognizer, UITapGestureRecognizer, UILongPressRecognizer
(Complete 3rd Programming Project now! - See my Google drive.)
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
GitHub page:
https://github.com/MichelDeima....n/CS193P-iOS11-Lectu
https://github.com/MichelDeiman
P.s.: Please find document links below!!
Paul Hegarty covers error handling, special types any and anyobject, and casting. He then introduces views.
Note: A link to the demo code from this lecture can be found on the last page of the slide deck.
Topics Include: Error Handling, throws, Any, AnyObject, casting, NSObject, NSNumber, Date, Data, UIView, CGFloat, CGPoint, CGSize, CGRect, frame, center, Identity Inspector, Path, UIBezierPath, Drawing, UIColor, Layers, View Transparency, UILabel, Fonts, UIFont, UIImageView, UIImage
(Complete 3rd reading assignment now! - See my Google drive.)
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
GitHub page:
https://github.com/MichelDeima....n/CS193P-iOS11-Lectu
https://github.com/MichelDeiman
P.s.: Please find document links below!!
Paul Hegarty continues his coverage of Swift.
Topics Include: Data Structures, Struct, Protocol, Enum, Delegation, Extension, String, Character, NSAttributedString, Function Types, Closures
(Complete Programming Project 2. now! - See my Google drive.)
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
All programming assignments will be subsequently published on my GitHub page:
https://github.com/MichelDeiman
https://github.com/MichelDeiman/CS193P-iOS11-Lecture-4-More-Swift
P.s.: Please find document links below!!
Paul Hegarty begins with a demonstration of making Concentration's button layout dynamic. He then reviews the first two lectures and continues diving into Swift.
Topics Include: Swift, Autolayout, CountableRange, Tuples, Computer Properties, Access Control, Assertions, Extensions, enum, Optionals, Data Structure, Protocols
(Complete 2nd reading assignment - See my Google drive.)
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
All programming assignments will be subsequently published on my GitHub page:
https://github.com/MichelDeima....n/CS193P-iOS11-Lectu
https://github.com/MichelDeiman
Lecture 2 continues the discussion on the concept of representing words as numeric vectors and popular approaches to designing word vectors.
Key phrases: Natural Language Processing. Word Vectors. Singular Value Decomposition. Skip-gram. Continuous Bag of Words (CBOW). Negative Sampling. Hierarchical Softmax. Word2Vec.
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
Lecture 1 introduces the concept of Natural Language Processing (NLP) and the problems NLP faces today. The concept of representing words as numeric vectors is then introduced, and popular approaches to designing word vectors are discussed.
Key phrases: Natural Language Processing. Word Vectors. Singular Value Decomposition. Skip-gram. Continuous Bag of Words (CBOW). Negative Sampling. Hierarchical Softmax. Word2Vec.
-------------------------------------------------------------------------------
Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
P.s.: Please find document links below!!
Jason Riggs talks about debugging and shares Xcode tips and tricks.
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
All programming assignments will be subsequently published on my GitHub page:
https://github.com/MichelDeiman
00:00:00 - ECMAScript
00:03:35 - Closures
00:13:47 - Immediately Invoked Function Expression
00:22:53 - First-Class Functions
00:34:19 - Synchronous? Async? Single-Threaded?
00:40:07 - Asynchronous JavaScript
00:40:18 - Execution Stack
01:00:18 - Overflow
01:01:47 - Asynchronous Functions
01:03:05 - Callbacks
01:09:41 - Promises
01:20:57 - Async/Await
01:26:32 - this
01:43:48 - Browsers and the DOM
P.s.: Please find document links below!!
Paul Hegarty explains the Model-View-Controller (MVC) concept. He then continues the Concentration demo: demonstrating the application of MVC to the Concentration Game.
Topics Include: MVC, controller, view, model, target, action, outlet, initialization, struct, class, static methods and properties, UIStackView
(Complete Programming Project 1. now. See my Google drive.)
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
GitHub page:
https://github.com/MichelDeima....n/CS193P-iOS11-Lectu
https://github.com/MichelDeiman
P.s.: Please find document links below!!
Paul Hegarty provides an overview of the lecture series and introduces the different components in iOS. He concludes with a demo of Concentration Game.
Topics Include:
iOS 11 Overview, Core OS, Core Services, Media, Cocoa Touch, Platform Components, Tools, Language(s), Frameworks, Design Strategy
(Complete first reading assignment now! - See my Google drive.)
---------------------------------------------------------
All videos are on iTunesU (including English subtitles):
https://goo.gl/FuVvUE
Slides and other material provided by Stanford University can be found on my Google drive:
https://goo.gl/1Skadp
Stanford CS 193P iPhone Application Development (not updated yet by Stanford):
https://goo.gl/eTpObV
All programming assignments will be subsequently published on my GitHub page:
https://github.com/MichelDeiman
https://github.com/MichelDeiman/CS193P-iOS11-Lecture-1-Introduction-to-iOS11-XCode9-and-Swift4
00:00:00 - Introduction
00:04:31 - Course Information
00:06:00 - JavaScript
00:07:45 - JavaScript Syntax
00:12:42 - Types
00:13:54 - Typecasting
00:16:05 - Types Demo
00:22:50 - Objects
00:24:49 - Objects Demo
00:34:42 - Object Mutation
00:48:37 - Prototypal Inheritance
00:57:55 - Scope
01:13:25 - The JavaScript Engine
01:18:44 - The Global Object
01:23:29 - Closures
Vedio
00:00:00 - Introduction
00:00:37 - Security
00:01:39 - Git
00:02:01 - Open-Source Software
00:05:22 - Two-Factor Authentication
00:08:47 - HTML
00:15:26 - Flask
00:15:49 - HTTP and HTTPS
00:17:47 - Cryptography
00:20:42 - Public-Key Cryptography
00:23:21 - Environment Variables
00:25:39 - SQL
00:33:52 - SQL Injection
00:40:23 - APIs
00:42:24 - API Keys
00:43:41 - JavaScript
00:46:27 - Cross-Site Scripting
01:05:48 - Django
01:06:19 - Cross-Site Request Forgery
01:14:47 - Testing, CI/CD
01:17:02 - Scalability
01:17:50 - DoS Attacks
01:18:32 - DDoS Attacks
01:20:43 - What's Next?
01:23:44 - In Conclusion
00:00:00 - Introduction
00:03:29 - Benchmarking
00:04:22 - Vertical Scaling
00:06:08 - Horizontal Scaling
00:09:42 - Load Balancing Methods
00:14:43 - Session-Aware Load Balancing
00:19:40 - Autoscaling
00:35:20 - Scaling Databases
00:38:00 - Database Partitioning
00:48:04 - Database Replication
00:49:46 - Single-Primary Replication
00:52:55 - Multi-Primary Replication
00:56:55 - Caching
00:58:23 - Client-Side Caching
01:05:22 - Server-Side Caching
00:00:00 - Introduction
00:00:38 - GitHub Classroom
00:08:38 - Creating a Branch
00:13:01 - Opening a Pull Request
00:17:19 - Deploying
00:44:36 - Travis CI
00:48:44 - Types of Tests
00:53:29 - Build
00:55:47 - Reproducibility
00:57:33 - Tidy Deploys
00:58:29 - Faster Development
00:59:27 - Automate all the things!
01:00:50 - CICD
01:01:51 - Travis Configurations
01:13:27 - Builds and Testing
01:15:31 - CICD in the Wild
01:17:03 - In Conclusion
00:00:00 - Introduction
00:01:47 - Customizing Django Admin
00:08:03 - Static Files in Django
00:10:06 - Testing
00:11:24 - prime.py
00:15:07 - tests0.py
00:16:22 - tests0.sh
00:20:26 - assert
00:21:41 - assert0.py
00:22:16 - assert1.py
00:24:04 - unittest
00:24:19 - tests1.py
00:29:16 - tests.py
00:51:15 - unittest Methods
00:53:00 - Selenium
00:59:59 - CI/CD
01:03:51 - Travis
01:06:32 - YAML
01:09:06 - .travis.yaml
01:21:09 - Docker
01:23:50 - Dockerfile
01:26:29 - docker-compose.yml
01:39:56 - In Conclusion
00:00:00 - Introduction
00:02:08 - Django
00:04:16 - Project Components
00:07:14 - hello
00:16:03 - flights
00:21:20 - Migrations
00:25:22 - Django Shell
00:35:57 - Rendering Templates
00:41:47 - admin
00:49:29 - Adding Routes
00:54:13 - Linking Routes
00:57:35 - Template Inheritance
01:00:40 - Model Relationships
01:09:52 - Registration
01:20:42 - CSRF
01:22:36 - Login and Authentication
01:36:59 - In Conclusion
00:00:00 - Introduction
00:00:53 - Single-Page Apps
00:02:22 - multipage
00:05:48 - singlepage0
00:15:06 - HTML5 History API
00:16:19 - singlepage1
00:25:38 - window
00:30:03 - scroll.html
00:33:12 - posts0
00:42:36 - posts1
00:47:47 - dice0
00:52:37 - dice1
00:55:06 - dice2
00:59:50 - dice3
01:06:32 - CSS Animation
01:07:56 - animate0.html
01:10:31 - animate1.html
01:12:40 - animate2.html
01:14:42 - animate3.html
01:16:55 - posts2
01:17:48 - posts3
01:22:09 - posts4
01:23:37 - circle0.html
01:25:27 - circle1.html
01:27:20 - rect.html
01:28:07 - circle2.html
01:29:51 - circle3.html
01:31:48 - stoplight.html
01:35:05 - draw0.html
01:38:12 - draw1.html
01:40:41 - draw2.html
00:00:00 - Introduction
00:02:42 - JavaScript
00:03:22 - ES6
00:03:55 - JavaScript in a Web Page
00:04:43 - hello0.html
00:06:21 - events.html
00:09:52 - Functions
00:10:37 - Events
00:12:53 - query.html
00:17:48 - querySelector
00:19:02 - counter0.html
00:21:38 - counter1.html
00:25:40 - counter2.html
00:32:52 - counter3.html
00:34:10 - Variables
00:35:50 - variables0.html
00:36:31 - variables1.html
00:38:21 - variables2.html
00:45:33 - colors0.html
00:48:23 - colors1.html
00:55:08 - Arrow Functions
00:56:41 - colors2.html
00:57:50 - colors3.html
01:01:41 - tasks0.html
01:06:42 - tasks1.html
01:09:07 - tasks2.html
01:11:44 - interval.html
01:13:40 - storage.html
01:18:07 - Ajax
01:18:36 - currency
01:30:56 - Socket.IO
01:33:01 - vote0
01:42:09 - vote1
00:00:00 - Introduction
00:01:56 - Object-Oriented Programming
00:03:26 - classes0.py
00:05:32 - classes1.py
00:12:31 - classes2.py
00:17:05 - classes3.py
00:19:45 - classes4.py
00:25:55 - Object-Relational Mapping
00:26:51 - Flask-SQLAlchemy
00:27:36 - models.py
00:32:47 - create.py
00:38:35 - import0.py
00:39:12 - import1.py
00:51:45 - airline1
00:52:27 - airline2
00:56:54 - airline3
01:00:28 - airline4
01:05:25 - Relationships
01:07:27 - APIs
01:08:12 - JSON
01:15:11 - HTTP Methods
01:16:31 - requests
01:16:53 - google.py
01:19:25 - fixer.io
01:21:38 - currency0.py
01:23:11 - HTTP Status Codes
01:26:27 - currency1.py
01:30:28 - currency2.py
01:33:52 - airline5
01:40:29 - API Keys
00:00:00 - Introduction
00:00:51 - Databases
00:01:53 - SQL
00:02:35 - SQL Data Types
00:04:26 - create.sql
00:09:27 - Constraints
00:11:07 - INSERT
00:13:39 - insert.sql
00:14:06 - SELECT
00:25:37 - SQL Functions
00:26:21 - UPDATE
00:28:37 - DELETE
00:36:57 - Foreign Keys
00:42:48 - joins.sql
00:50:15 - Indexing
00:56:30 - SQL Injection
01:02:57 - Race Conditions
01:08:10 - SQL Transactions
01:09:08 - SQLAlchemy
01:09:45 - list.py
01:15:42 - import.py
01:22:05 - passengers.py
01:25:19 - airline0
01:38:59 - airline1
00:00:00 - Introduction
00:00:48 - Python
00:01:45 - hello.py
00:03:26 - name.py
00:07:06 - variables.py
00:10:10 - conditions.py
00:12:51 - sequences.py
00:18:48 - loops0.py
00:23:26 - loops1.py
00:23:42 - sets.py
00:24:58 - dictionaries.py
00:27:57 - functions.py
00:32:12 - modules.py
00:35:56 - classes.py
00:39:17 - HTTP
00:40:25 - Flask
00:46:56 - routes0
00:52:25 - templates
00:57:14 - variables0
01:04:17 - conditions
01:11:53 - loops
01:17:48 - inheritance
01:23:00 - forms
01:33:50 - notes
00:00:00 - Introduction
00:02:38 - Branching
00:17:20 - Remotes
00:19:53 - Forks
00:20:53 - Pull Requests
00:24:10 - links0.html
00:26:56 - link1.html
00:30:34 - HTML5
00:33:30 - form.html
00:38:31 - CSS
00:39:45 - multiple.html
00:42:04 - descendant.html
00:46:35 - child.html
00:47:50 - attribute.html
00:51:15 - hover.html
00:53:07 - before.html
00:55:08 - selection.html
00:55:57 - CSS Selectors
00:57:06 - Responsive Design
00:59:45 - print.html
01:02:38 - responsive0.html
01:04:48 - responsive1.html
01:08:42 - flexbox.html
01:11:09 - grid.html
01:14:44 - nobootstrap.html
01:15:02 - bootstrap.html
01:16:10 - columns0.html
01:17:51 - columns1.html
01:22:10 - alert.html
01:24:02 - variables.html
01:25:47 - Sass
01:35:16 - nesting.html
01:39:39 - inheritance.html
00:00:00 - Introduction
00:07:41 - git
00:11:00 - GitHub
00:12:31 - git clone
00:15:06 - git add
00:16:01 - git commit
00:17:40 - git status
00:18:42 - git push
00:20:01 - git pull
00:22:53 - Merge Conflicts
00:27:19 - git log
00:27:54 - git reset
00:35:44 - hello.html
00:41:46 - headings.html
00:43:47 - lists.html
00:46:29 - image0.html
00:49:41 - image1.html
00:53:46 - table.html
00:56:31 - form.html
00:59:04 - DOM
01:00:35 - CSS
01:02:04 - style0.html
01:07:40 - style1.html
01:11:51 - style2.html
01:14:45 - size.html
01:18:08 - font.html
01:20:30 - border.html
01:21:55 - Styling table.html
01:29:20 - div_span.html
01:39:48 - GitHub Pages
Python Programing
00:00:00 - Introduction
00:01:58 - What is a Portal?
00:04:40 - Rendering
00:04:52 - Texture vs Stencil Tradeoffs
00:09:35 - Rendering Using Stencils
00:15:36 - Duplicate Models
00:16:36 - Clip Planes
00:17:44 - Banana Juice
00:19:44 - Recursion
00:23:19 - Third Person Gotchas
00:24:48 - Pixel Queries
00:26:34 - Design
00:27:45 - Prototyping in 2D
00:28:48 - Training Basics
00:36:22 - Portal Funnels
00:38:51 - Aerial Faith Plates
00:39:34 - Trigger Catapult
00:42:53 - Portal Highlight
00:43:44 - Portal Placement Helper
00:45:01 - Fun Over Accurate Physics
00:46:54 - Gels
00:48:09 - Portal Gel
00:49:25 - Cutting Sticky Gel
00:52:13 - Cutting Portal Through Portal
00:53:02 - Cutting Double Flings
00:54:31 - Energy Ball To Laser
00:56:58 - Combining Elements
00:57:35 - Laser Introduction
00:57:52 - Laser Saturation
00:58:41 - Laser Graduation
00:59:14 - Laser Combination
01:00:25 - Physics
01:00:43 - Volumes, Vectors, and Planes
01:03:41 - Carving Holes
01:07:20 - Collision Lists
01:08:50 - Shadow Clones
01:11:32 - Q&A
01:13:37 - Reduce Rendering Frustum
01:41:05 - In Conclusion
00:00:00 - Introduction
00:08:10 - Portal Demo
00:16:31 - Portal Demo Unity View
00:18:38 - Holding a Weapon
00:24:04 - Raycasting
00:37:00 - RenderTexture
00:46:00 - Texture Masking
00:52:18 - Teleporting
01:01:07 - ProBuilder and ProGrids
01:25:23 - Shadergraph
01:29:08 - In Conclusion
00:00:00 - Introduction
00:04:13 - Demo
00:14:36 - Texturing
00:20:54 - UV Unwrapping
00:28:27 - Materials
00:32:55 - Lighting
00:33:51 - Point Light
00:34:26 - Spot Light
00:35:07 - Directional Light
00:35:48 - Area Light
00:43:25 - Bump Mapping
00:48:42 - 3D Maze Generation
01:11:39 - Character Controllers
01:32:04 - Multiple Scenes
01:41:44 - Fog
01:44:40 - Unity2D
01:52:34 - In Conclusion
00:00:00 - Introduction
00:07:36 - Unity
00:12:11 - C#
00:17:24 - Blender
00:19:09 - GameObjects
00:29:32 - Components
00:38:28 - Composition vs. Inheritance
00:40:29 - MonoBehaviours
00:56:46 - Colliders and Triggers
01:14:49 - Prefabs and Spawning
01:45:14 - Texture Scrolling
01:49:26 - Audio
01:54:08 - Asset Store
01:55:30 - In Conclusion
00:00:00 - Introduction
00:04:59 - Pokémon Demo
00:11:33 - StateStack
00:20:32 - StartState
00:23:32 - FadeInState
00:29:22 - DialogueState
00:33:23 - PlayState
00:36:11 - Grid-Aligned Movement
00:42:25 - Dialogue Revisited
00:44:13 - Level
00:46:13 - Triggering Encounters
00:50:09 - GUIs
00:52:36 - 9-Patches
00:55:10 - GUI Widgets
01:01:46 - Panel
01:03:25 - Textbox
01:08:49 - Selection
01:12:16 - Menu
01:12:50 - Party and Pokemon
01:22:19 - BattleSprite
01:23:58 - Shaders
01:28:45 - BattleState
01:37:55 - BattleMenuState
01:43:06 - TakeTurnState
01:56:10 - In Conclusion
00:00:00 - Introduction
00:02:28 - Lecture Demo
00:05:45 - Sprites
00:08:38 - The World
00:11:32 - Bodies
00:13:13 - Fixtures
00:16:18 - Body Types
00:17:46 - static
00:23:11 - dynamic
00:23:42 - ground
00:28:07 - kinematic
00:35:07 - ballpit
00:38:14 - Mouse Input
00:42:08 - StartState
00:43:51 - Alien
00:50:43 - Obstacle
00:55:43 - Collision Callbacks
00:59:28 - Level
01:13:32 - AlienLaunchMarker
01:29:25 - In Conclusion
00:00:00 - Introduction
00:06:04 - Legend of Zelda Demo
00:08:24 - Zelda Sprites
00:15:48 - Top-Down Perspective
00:17:52 - Dungeon Generation
00:24:08 - World Classes
00:32:18 - Infinite Dungeon Algorithm
00:38:30 - Room
00:44:48 - Entities and Game Objects as Data
00:56:03 - Stenciling
01:03:29 - Hitboxes and Hurtboxes
01:12:23 - Events
01:15:26 - Knife Event Library
01:23:57 - Screen Scrolling
01:24:06 - Stenciling Revisited
01:28:18 - Game Design with Data
01:32:16 - NES Homebrew and Programming
01:39:02 - In Conclusion
00:00:00 - Introduction
00:04:20 - Super Mario Bros. Demo
00:07:13 - Tilemaps
00:08:34 - tiles0
00:13:46 - tiles1
00:21:29 - character0
00:23:57 - character1
00:26:38 - character2
00:30:07 - character3
00:30:46 - Animation
00:38:48 - character4
00:45:12 - Procedural Level Generation
00:52:44 - level0
01:02:40 - level1
01:07:28 - level2
01:09:50 - Tile Collision
01:31:36 - Entities
01:37:45 - Game Objects
01:53:09 - In Conclusion
00:00:00 - Introduction
00:03:29 - Match-3 Demo
00:06:16 - timer0
00:09:40 - timer1
00:12:05 - timer2
00:16:50 - tween0
00:21:59 - tween1
00:30:52 - Knife Library
00:32:08 - tween2
00:43:04 - chain0
00:49:57 - chain1
00:55:35 - swap0
01:06:51 - swap1
01:18:02 - swap2
01:19:51 - Calculating Matches
01:30:25 - Removing Matches
01:40:39 - Replacing Tiles
01:46:46 - Palettes
01:49:56 - Palette Swapping
01:50:46 - In Conclusion
00:00:00 - Introduction
00:03:44 - Breakout Demo
00:06:04 - Lecture Goal
00:06:54 - Breakout State Flow
00:08:27 - The Day-0 Update
00:08:42 - Project Organization
00:16:40 - The Quad Update
00:16:52 - Sprite Sheets and Quads
00:30:56 - The Brick Update
00:34:14 - The Bounce Update
00:49:14 - LevelMaker
00:51:04 - The Collision Update
00:52:12 - Paddle Collision
00:52:55 - Brick Collision
01:02:20 - The Hearts Update
01:10:21 - The Pretty Colors Update
01:16:28 - The Tier Update
01:20:45 - The Particle Update
01:27:50 - The Progression Update
01:32:17 - The High Scores Update
01:40:56 - The Entry Update
01:46:03 - The Paddle Select Update
01:49:07 - Next Time
00:00:00 - Introduction
00:04:04 - The Day-0 Update
00:12:49 - The Parallax Update
00:26:53 - Games Are Illusions
00:31:05 - The Bird Update
00:36:51 - The Gravity Update
00:41:51 - The Anti-Gravity Update
00:52:52 - The Infinite Pipe Update
01:13:12 - The PipePair Update
01:34:43 - The Collision Update
01:43:27 - The State Machine Update
01:57:17 - The Countdown Update
01:59:52 - The Audio Update
02:02:42 - The Mouse Update
00:00:00 - Introduction
00:04:10 - Lecture Topics
00:07:35 - What is Lua?
00:09:20 - LÖVE2D
00:10:08 - Game Loops
00:11:06 - 2D Coordinate System
00:11:47 - Lecture Scope
00:13:01 - The Day-0 Update
00:18:55 - The Low-Res Update
00:21:02 - Texture Filtering
00:25:10 - The Rectangle Update
00:30:42 - The Paddle Update
00:35:42 - The Ball Update
00:45:37 - The Class Update
00:55:51 - The FPS Update
00:59:35 - The Collision Update
00:59:51 - AABB Collision Detection
01:12:37 - The Score Update
01:14:40 - State Machine
01:21:18 - The Victory Update
01:27:57 - The Audio Update
01:26:44 - bfxr
01:33:54 - The Resize Update
Vedio
Design of Digital Circuits, ETH Zürich, Spring 2018 (https://safari.ethz.ch/digitaltechnik/)
Lecture 1: Introduction and Basics
Lecturer: Professor Onur Mutlu (http://people.inf.ethz.ch/omutlu)
Date: February 22, 2018
Slides (ppt): https://safari.ethz.ch/digital....technik/spring2018/l
Slides (pdf): https://safari.ethz.ch/digital....technik/spring2018/l
Digital Marketing Free Training Course From Google | Free Google Digital Marketing Certification
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I am yogi Yogendra Welcome to our youtube channel technical yogi.
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The world is filled with things that most of us are able to understand and react to without much thought; a stop sign partially covered by snow is still a stop sign; a chair that’s five times bigger than usual is still a place to sit. But for regular computers, this type of intuitive logic is out of reach. Today, machine learning is able to give computers this advantage through its advanced technology. In this video, we'll explore how machine learning is beginning to improve computers and many of the things we use them for.
For the complete free course visit https://digitalgarage.withgoogle.com
Wondering where the time went and wishing there were more hours in the day? Mastering how to manage your time is an essential skill that can help you stay organised, productive and happy. In this video, you'll learn to identify how your time is currently spent, as well as tips and tools to improve your overall time management and efficiency at work.
For the complete free course visit https://digitalgarage.withgoogle.com
Collecting and analysing data can offer many benefits to online businesses. To take advantage of these benefits, it's important to first understand the types of data available to you as well as the best way to gather it. In this lesson, we'll explore the differences between quantatative and qualitative data, how online data can be used to complement your offline business approach, common ways to collect data.
For the complete free course visit https://digitalgarage.withgoogle.com
With so many businesses and brands online, content marketing is a valuable tool in helping you to stand out. In this lesson, we'll explore what content marketing is, and why it can add value to an online business, best practices for creating your own content marketing strategy.
For the complete free course visit https://digitalgarage.withgoogle.com
An online business strategy can boost your chances of digital success, helping you to define clear goals and focus your online activity. In this lesson, we'll explore how an online business can benefit from a business strategy, best practices when creating a business strategy, examples of common goals and popular strategies to achieve them.
For the complete free course visit https://digitalgarage.withgoogle.com
Once you’ve taken your first steps into e-commerce, your next job is to improve the shopping experience. From getting more people to use your online shopping basket to streamlining the checkout process, there are lots of ways to improve your site for shoppers. In this video, you’ll learn how to use analytics to optimise for different devices, navigation and search, product pages and checkout by using customer accounts.
For the complete free course visit https://digitalgarage.withgoogle.com
Whether you’re a traditional retailer, a service business, a wholesaler or even an Internet start-up, there are many ways you can use e-commerce to reach more customers and increase sales. In this video, we’ll cover what e-commerce is, varying levels of e-commerce used in business, and how to match your needs to the options available.
For the complete free course visit https://digitalgarage.withgoogle.com
As technology has improved, the popularity of online video has skyrocketed. Now, it’s a powerful tool in marketing. In this lesson you’ll learn how technology has improved online video, why online video is here to stay, and ways to promote your business with video.
For the complete free course visit https://digitalgarage.withgoogle.com
Digital marketing gives you easy and instant access to a global marketplace – and this makes expanding your business to other countries an attractive possibility. Before you dive in, you’ll want to evaluate your business’s readiness. In this video we’ll explore how to evaluate international markets for your product, and practical and cultural issues of expanding internationally.
For the complete free course visit https://digitalgarage.withgoogle.com
From the start, you should design your display advertising campaigns to help you achieve your goals. Here we’ll go over some of the many things display advertising can do for you, including making a great first impression, moving customers through the sales funnel, and turning interested people into paying customers.
For the complete free course visit https://digitalgarage.withgoogle.com
Display advertising allows businesses to reach specific groups of people on specific websites with their messages. In this lesson, we’ll look at what display advertising is, how it works, and the goals it can help you reach.
For the complete free course visit https://digitalgarage.withgoogle.com
As people spend more and more time on their mobiles, businesses are increasing their mobile advertising in order to reach new customers. In this video, you’ll learn about benefits of mobile-specific marketing, mobile opportunities available to advertisers, and challenges to effective mobile advertising.
For the complete free course visit https://digitalgarage.withgoogle.com
People now have so many ways to access the Internet. We use computers, smartphones, tablets and now even smartwatches. Mobile marketing is constantly evolving; embrace it and your business will stay well ahead of the curve. In this lesson, you’ll learn how mobile usage has changed in the last four decades, what features are available on today’s mobile devices, and what the explosive growth of mobile use means for you.
For the complete free course visit https://digitalgarage.withgoogle.com
Once you start engaging with social media, you’ll realise pretty quickly: it helps to get organised. Putting together a serious plan for how you want to invest in social media will really help. In this video, we’ll cover the benefits of creating a plan for social media, what a social media plan might look like, and tools to help you put your plan into action.
For the complete free course visit https://digitalgarage.withgoogle.com
Social media is everywhere, and people engage with it every day. Learn what it is and how you can take advantage of these networks by understanding why you need to be there, joining the right social media sites, and growing your presence and engaging with your networks.
For the complete free course visit https://digitalgarage.withgoogle.com
Local advertising is a great, affordable (sometimes even free) way to connect with customers who are close at hand. In this lesson we’ll talk about why local advertising is important, where you can advertise online to local customers, and some special features of “local” ads.
For the complete free course visit https://digitalgarage.withgoogle.com
The Internet connects businesses and customers worldwide. But if you’re a local business, you’ll want to reach people nearby. Let’s learn a bit about what local means in digital, how your business can build a local search presence, and a perfect pair: local marketing and mobiles.
For the complete free course visit https://digitalgarage.withgoogle.com
Web analytics is great for measuring all kinds of traffic to your site, including traffic from organic search results. But you can do much more than just count up your website visitors. In this video, you’ll learn what kinds of data web analytics can give you about search traffic, how to evaluate trends in your search traffic, and how to discover opportunities to make your website more relevant to searchers.
For the complete free course visit https://digitalgarage.withgoogle.com
Web analytics can answer questions about what people are doing - and not doing - on your website. In this video, you’ll learn about the kind of data web analytics can provide, how to understand that data, and how simple it is to get started.
For the complete free course visit https://digitalgarage.withgoogle.com
To succeed as an advertiser, you need to create adverts that help searchers find what they’re looking for - and when you do, search engines may reward you. In this video, you’ll learn how SEM campaigns are structured, how to use that structure to achieve relevance, and the benefits you’ll get by focusing on relevance.
For the complete free course visit https://digitalgarage.withgoogle.com
Business planning expert & author, Julie Gordon White, shares her advice for starting a service-based business. Check back for more business planning tips and information all month long.
To learn more about Julie's webinar, go to: https://acceleratemybiz.clickf....unnels.com/webinar-r
Visit the Google Small Business Community to get the help you need to succeed on the web: g.co/gsbc
Do you want to open a business but don't have the cash to get started? Check out these tips from productivity expert Dave Crenshaw, including opening a service-based business and freelancing. Watch the follow-up movies at http://www.lynda.com/Business-Business-Skills-tutorials/Small-Business-Secrets/156584-2.html?utm_campaign=5hm1JU7J3b4&utm_medium=social&utm_source=youtube-earned.
This specific tutorial is from the Small Business Secrets series presented by lynda.com author Dave Crenshaw. This series covers small business topics such as getting started, writing a business plan, determining your most valuable product or service, hiring people, managing processes, documenting systems, bootstrapping, seeking funding, accounting, controlling costs and profit margins, marketing, creating culture, and more.
Traditional advertising broadcasts a message to the world at large. But search engine marketing targets a very specific group of people - those actively looking for your products and services. In this video, you’ll learn what SEM is, how it works, and why it works so well.
For the complete free course visit https://digitalgarage.withgoogle.com
What makes some people stand out, even in an extraordinary crowd? Stanford Graduate School of Businesses lecturer Amy Wilkinson interviewed over 200 of the world's top entrepreneurs to find out.
Get started in search engine optimisation by improving the pages on your website. This video explains the elements that you can tweak to make your website easier for search engines to understand. We’ll cover title and description meta tags, heading elements, and page copy.
For the complete free course visit https://digitalgarage.withgoogle.com
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Your founding idea is the most critical, says Cliff Schorer. Vet it thoroughly.
Cliff Schorer: Well, I think the greatest challenge first is having a solid idea that you can build a business around. I think it's incredibly important that you vet it carefully and you ask as many experts in the field as you can for advice especially if you're your own person elderly people or older people love to give you advice and help you out. So that'd be the first step I'd take to find out if you've got a good idea and if you ... it's within your scope of capability to make it happen. There's always plenty of capital around if you have a good idea and it's structured well so I think that that's where important business planning comes in where you show that you have a grasp of what it will take to do it, that you're not overly ambitious. They — We see so many business plans where it's kind of stick with me, you'll wear diamonds kind of thing and we want to know there's reality underneath, that we want to know that you really understood how long it takes to put together a sales organization or to develop a product order, take from prototype to packaged goods, how difficult it is and how challenging. If you have — If you convey that you have a sense of that I think you have a great chance towards doing real well. After you've got that kernel of an idea I think the next most important thing you do is to kind of structure it out carefully. Think about the components of it. Begin to talk to the market and see are people really interested. A lot of us have great ideas but the public's not interested in them so I think it's pretty important to find out very, very early on if there is a market and if people would be interested in it.
Recorded on: 5/13/08
Understanding how search engines work can help your business improve its online presence. This video explains what search engine optimisation is, how search engines understand your website, and what they value most.
For the complete free course visit https://digitalgarage.withgoogle.com
The first step in starting a business while working full time is getting ready. Download the full guide at https://www.score.org/resource....s/16-steps-starting-
In this video we will begin our series on how to start a successful business with a look at the 5 steps you should take to decide if starting a business is right for you.
By the end of this video you will know:
1. The best and worse reasons to start a business
2. What skills you need to start your own business or company.
3. The reasons that a business fails.
4. The amount of money and time you need to start a business
5. The things you will face when you business starts.
To learn more about starting your business, visit fitsmallbusiness.com
How To Start A Business | How To launch A Business | How To Begin A Business | Best New Business Ideas | Good Small Business Idea | Entrepreneur Business Ideas | Small Business Ideas
Search engines catalogue the Internet to help connect searchers with exactly what they’re looking for. That makes them a great marketing tool. This video covers a brief history of search engines, how search engines changed business, why search is a good place to start.
For the complete free course visit https://digitalgarage.withgoogle.com
99% of business plans get rejected by investors. Here are the 3 things that you need to do right if you want investors to pay attention to you and avoid having your plan thrown into the garbage can.
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1) Executive Summary
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Sending newsletters and special offers to customers via email can play a key part in your overall marketing plan, building and strengthening relationships with your customers. In this video, we’ll explore:
- developing a contact list
- targeting audiences based on interests
- building relationships with customers.
This short video describes how and why to write a business plan, using SBA's free tool at www.sba.gov/business-plan.
For the complete free course and certification visit https://goo.gl/exdkTq
There’s more than one place for people to find you online. In this lesson we’ll explore just how important being online is these days, as well as some common ways to do it including:
- websites
- local business listings and review sites
- social media
- mobile apps.
![Starting Your Own Business [Intro]](https://i.ytimg.com/vi/QoEcyUDub1I/maxresdefault.jpg)
video
Taking your business online offers a lot of opportunities, but with so many options, it’s easy to spin your wheels and lose focus. Setting specific goals can help as you begin to navigate the digital world.
For the complete free course visit https://digitalgarage.withgoogle.com
In this video we’ll delve into the global shift to digital. You’ll learn:
how many people are online worldwide
how they’re spending their time online
how your business can benefit from the still-booming digital trend
For the complete free course visit https://digitalgarage.withgoogle.com
Its crazy how big data is used to solve some kinds of problems and not others.
Prukalpa Sankar reimagines a world where we can catch criminals at the scene of the crime – not years later, reroute cars in real time to prevent traffic congestion that we all hate so much, predict if a child is going to drop out of school before they even knows it and eradicate a disease as it breaks, not 1000s of deaths later.
Prukalpa is the co-founder of SocialCops, a data intelligence company. Their platform brings the entire decision-making process to one place — from collecting primary data and accessing secondary data to merging internal data and visualizing data via easy-to-use dashboards. They work with over 150 organizations in 7+ countries, including the Gates Foundation, Tata Trusts, Government of India, Unilever, and Frost & Sullivan. SocialCops was on the 2016 Forbes Asia 30 Under 30 and Fortune India 40 Under 40 lists.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Erika Legara, Program Director of the Data Science Program at the Asian Institute of Management explains "big data analytics" is simply a tool to uncover trends and patterns about how to best optimize your business.
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Take a look behind the scenes at the Intermountain Healthcare employees that keep us running smoothly! Our Data Analyst's work hard each day using data, research, numbers, and demographics to help people live the healthiest lives possible.
When Borja finished the Google Actívate course, he was determined to set up his own online business. Thanks to the skills he gained through Actívate, including SEO and search engine marketing, he launched his e-commerce site Huerta Tropical, which sells tropical fruit grown in Spain.
Visit Huerta Tropical here: www.huertatropical.com
Grow with Google helps people discover and learn new skills to grow their career or business, taking advantage of the opportunities ahead. See how, with the help of technology, people have successfully achieved their goals, turned their passion into reality, and put new skills into action: https://g.co/GrowEurope
Data Analytics is a fast evolving field and so are the careers related to it it. So, what are the types of roles that one can transition to when it comes to Data Analytics? Answers to all your questions related to it can be answered through this video. Go now and watch the full video to add to your knowledge
While the answer is not rigid and compartmentalized, Rohit Sharma, Program Director for UpGrad and IIIT Bangalore's Data Analytics Program, tries to chalk out the various roles that exist in the industry, that you can apply and transition your career.
#DataAnalytics #StrategicDigitalMarketing #InternetMarketing
What does it take to be a Data Engineer, a Data Analyst, a Data Visualiser/Business Intelligence Professional or a Data Scientist? If you ever start pondering over these roles - moreover, if you are an IT professional wondering what will become of your career after IT - then you need to watch this video now and get accustomed to the main roles that exist within the space.
Grab a cool infographic here: https://blog.upgrad.com/top-4-data-analytics-skills-you-need-to-become-an-expert/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_Data&utm_content=YouTube_Video_Data_Analytics_Roles_Blog_Link
Let us know what you think in the comments section below and if you have any further questions regarding data analytics, do reach out!
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In this video we are going to define the job description of a data analyst, what a data analyst does, and the best online course to become a data analyst.
► Full Playlist Explaining Data Jargon ( http://bit.ly/2mB4G0N )
► Top 4 Best Laptops for Data Analysts
( https://youtu.be/Vtk50Um_yxA )
► Break Into the Data Industry with the best data analytics online
learning resources from Edureka! ( http://bit.ly/2yCbsac )
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Currently the average pay for a data analyst is $76,419 on the button, according to glassdoor
I receive a lot of questions about what it takes to become a data analyst and what is a data analyst.
Clearing up what a data analyst does everyday and what that description means to someone looking to enter the data science industry
What will you actually be asked to do on the day to day as a data analyst.
► Top 4 Responsibilities in the Daily Life of a Data Analyst:
1 ) Mathematics
Although mathematics only makes up about 20% of the day to day life of a data analyst. It is still important to have a strong understanding of the foundations of mathematics.
- Addition
- Subtraction
- Multiplication
- Division
- Most Importantly --- Statistics
Data analytics is all about statistics. Most of the statistics will be handled by the tools you are working with, but in order to be a great data analyst it is best to know why the tools are producing specific results. A strong understanding of statistics will be useful to you.
2 ) Computer Programming
You must be able to work proficiently in one or more computer programming languages. This make up for roughly 60%-70% of your daily work. in order to analyze data it must be queried (drawn) from a large data warehouse. You will use computer programming languages such as SQL, Python, and R to query data.
Before we move on let me define the term Query, if it does not resonate with you.
You need strong computer programming skills in order to accomplish this task. As a data analyst you will do a lot of drawing and analyzing data.
► For more info on databases, SQL, and other jargon check out our Video Series on Data Jargon ( https://www.youtube.com/playli....st?list=PL_9qmWdi19y )
3 ) Know the Tools of the Trade
Once you query data from the database onto your workspace you will begin to utilize data analytics tools to process, scrub, and analyze data (data Jargon explained on our Video series ^^^). You will be able to perform these tasks by using tools like Hadoop, Open Refine, Tableau, Apache Spark, etc...
As you process the data you will begin to see connections between the data sets. You will see some of the following errors and you will want to remove these in order to ensure that your data analysis is accurate:
- Duplicated data
- Improperly formatted data
- Incomplete data
- Inaccurate data
- This data will corrupt your findings and could possibly lose you client
or employer millions of dollars. Make sure you know how to use
those data analytics tools WELL!
4 ) Communicate and Present Insights
Data Analyst will also be called upon to clearly and consciously present your research to clients, managers, or executives.
Ok, now I know you are curious if you are capable of learning all of these crucial skills. Yes, you can, but there is a clause. You have to learn from the best.
The guys over at Edureka.co are the leading professionals in the big data training industry. Based out of India, home to over 101,000 individuals in the data science industry (at the time of this writing). They are eager to make a way for themselves in the new digital economy. They are on the cutting edge of data analytics and eager to teach it to anyone worldwide.
Testimonies of increased salaries, new employment, and 597,089 (updated) satisfied learners make edureka the best choice to learn the skills you need in the data industry. Question is will you actually do it. Imagine deregulating yourself for the data industry. Right now, it is a black hole, you don't know what's inside, but it is screaming opportunity from the darkness.
TURN ON THE LIGHT and break into the data industry. A future proof opportunity for the next decade and beyond.
► Edureka Big Data Masters Program ( http://bit.ly/2yCbsac )
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For Ana, the idea to start her own Galicia-inspired clothing line was born from her love of her hometown and her lifelong passion for fashion. She signed up for an online marketing course with Google Actívate, which gave her key insight and skills, including SEO, search engine marketing, social media and web analytics, to start a successful business online.
Visit Somos Océano here: www.somosoceano.com
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For José Luis Marina, Founder of the company Taniwa, Mememtum is much more than just his star product. The app, designed to help with early detection of neurological disorders, uses mobile devices to replicate the tests that neurologists conduct on patients during consultations.
Visit them here: http://www.mememtum.com/#main
Grow with Google helps people discover and learn new skills to grow their career or business, taking advantage of the opportunities ahead. See how, with the help of technology, people have successfully achieved their goals, turned their passion into reality, and put new skills into action. https://g.co/GrowEurope
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Star Chart was born when Escapist Games Co-founder Chris Walley looked up at the night sky and wondered if he was looking at a star or a planet. “I thought it would be really great,” he says, “if I could find out from a smartphone app.” Star Chart offers users a virtual planetarium in their pocket when they look into the sky through the eyes of their Google Android device.
Grow with Google helps people discover and learn new skills to grow their career or business, taking advantage of the opportunities ahead. See how, with the help of technology, people have successfully achieved their goals, turned their passion into reality, and put new skills into action. https://g.co/GrowEurope
Bullitt creates mobile devices designed especially for people whose work and lifestyle require technology that is robust and durable. Teaming up with leading global brands, the company develops innovative products that provide a unique mobile experience. Just like its latest Cat® S60 smartphone in the ‘rugged’ segment, which is the world’s first to feature thermal imaging technology.
Visit them here:
Grow with Google helps people discover and learn new skills to grow their career or business, taking advantage of the opportunities ahead. See how, with the help of technology, people have successfully achieved their goals, turned their passion into reality, and put new skills into action. https://g.co/GrowEurope
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
Why have so many creative minds suffered from mental illness? Nancy Andreasen, Andrew H. Woods Chair of Psychiatry at the University of Iowa, has devoted decades of study to the physical differences in the brains of writers and other highly accomplished individuals. Produced in partnership with The Atlantic magazine, Judy Woodruff visits Andreasen to explore her work.
Esplorio lets you record any trip, right from the moment you step out of the front door. The app automatically maps your journeys, names the places you visit and syncs your travel photos to create personal travel journals, which can be shared via social media.
Visit them here: https://esplor.io/
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http://www.ted.com Is your school or workplace divided into "creatives" versus practical people? Yet surely, David Kelley suggests, creativity is not the domain of only a chosen few. Telling stories from his legendary design career and his own life, he offers ways to build the confidence to create... (From The Design Studio session at TED2012, guest-curated by Chee Pearlman and David Rockwell.)
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes. Featured speakers have included Al Gore on climate change, Philippe Starck on design, Jill Bolte Taylor on observing her own stroke, Nicholas Negroponte on One Laptop per Child, Jane Goodall on chimpanzees, Bill Gates on malaria and mosquitoes, Pattie Maes on the "Sixth Sense" wearable tech, and "Lost" producer JJ Abrams on the allure of mystery. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Closed captions and translated subtitles in a variety of languages are now available on TED.com, at http://www.ted.com/translate
If you have questions or comments about this or other TED videos, please go to http://support.ted.com
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Dr. Eric Kandel describes the "aha phenomenon" and speculates on ways that humans and groups can think more creatively.
Transcript--
Leonardo, for one, spent a fair amount of time dissecting human cadavers because he wanted to know how the various bones related to one each other and how the muscles related to the bones. So he wanted to have a realistic understanding of the human anatomy because he was depicting real live people sitting, gesturing, walking, and he wanted to get this as absolutely correct as possible.
In order to understand how the body functions, we need to know something about the anatomy of the body, it's sort of obvious.The more we want to depict the mind, the more it helps to understand the mind, and one way to understand the mind is to understanding the brain. So it is conceivable that as we get deeper and deeper insights into the mind, artists will get ideas about how combinations of stimuli affect, for example, emotional states that will allow them to depict those emotional states better.
But in addition, we're beginning to get in very, very primitive terms, some insights into the nature of creativity. Hughling Jackson, the great neurologist in the 19th century, thought that the left hemisphere is involved in language. We know this is true. And the left hemisphere is primarily involved in logical processes, calculation, mathematics, rational thinking. The right hemisphere, he thought, is more involved with musicality, which is true. The sing-song in my language comes from the right hemisphere, the grammar and the articulation comes from my left hemisphere. Okay? So he thought that the right hemisphere is more involved in musicality in, you know, synthesis, putting things together and an aspect of creativity. And he felt that the two hemispheres inhibit one another. So if you have lesions of the left hemisphere, that removes the inhibitory constraint on the right hemisphere and frees up certain processes. And he found that certain kids that develop later in life, let's say, later in their teens, aphasia, a language difficulty; it freed up in them a musicality which they didn't have before.
People have returned to that more recently in the analysis of a dementia called Frontotemporal Dementia. Frontotemporal Dementia is a dementia somewhat similar to Alzheimer's disease, it actually begins earlier, that primarily affects the temporal lobe of the brain and the front lobe of the brain. If it's only expressed on the left side, people with Frontotemporal Dementia begin to show creativity that they've never shown before. So if you were painting before, you might start, if you develop Frontotemporal Dementia on the left side, to use colors that you've never used before to try forms that you've never used before. If you never painted before, you might take up painting for the first time. So this is really quite unusual.
There are also a group of people who have studied aspects of creativity. I can give you a problem that can be solved in one of two ways, systematically working your way through it or putting it together, take a guess, an Aha Phenomenon. And they found that when people do it in a sort of creative way, the Aha Phenomenon, there is a particular area in the right side of the brain that lights up. And they show this not only with imaging, but also with electrophysiological recording.
So this is really quite interesting. You have a number of sort of indirect, not the most compelling evidence in the world, the Aha Phenomenon is well-documented, but it's only a component of creativity. Number of suggestions, there are aspects of the right hemisphere that might be involved in creativity. But look, as we have been saying all along, we are at a very early stage in understanding higher mental processes, so it's amazing we know anything about creativity, but this is certainly -- we are heading into an era in which one can really get very, very good insights into it and the kinds of situations that lead to increased creativity... you know, is group think productive? Does it lead to great -- greater creativity or does it inhibit individual creativity? Lots of these questions are being explored, both from a social psychological and from a biological point of view.
Directed / Produced by Jonathan Fowler & Elizabeth Rodd
Boundaries and constraints are by definition limiting, but can they also foster creativity? Astrophysicist and author Janna Levin and author Mary Roach discuss how creative processes like science and writing can be limited by freedom, and set free by limits.
Watch the full program here: https://youtu.be/g2x4zix0xPk
Original Program Date: June 4, 2016
MODERATOR: John Hockenberry
PARTICIPANTS: Jennifer Ackerman, Maria Konnikova, Janna Levin, Mary Roach
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Usheru helps people find the perfect seat at cinemas, film festivals and outdoor screenings across London and Dublin. Thanks to curated content and suggestions based on their personal tastes, users can use the app or website to book their ideal film experience. Support from Google Launchpad has been fundamental to Usheru’s continued growth.
Visit them here: https://www.usheru.com/home
Grow with Google helps people discover and learn new skills to grow their career or business, taking advantage of the opportunities ahead. See how, with the help of technology, people have successfully achieved their goals, turned their passion into reality, and put new skills into action. https://g.co/GrowEurope
At this year's Aspen Ideas Festival, we asked a group of people who work in media and design to explain what they do to find inspiration. According to Tim Brown, the CEO of IDEO, it's important to avoid one thing: "Routine is what makes you not creative, I think. Routine causes you to stop asking questions." Other panelists include Kelly Leonard, Suleika Jaouad, Bran Ferren, Anne Libera, Brian Grazer, and JR.
The Big Question is a series inspired by The Atlantic's back-page feature.
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After sitting in school or at work all day, you might feel like you need a jolt of inspiration. Some people zone out, some people take a shower, but a new study shows that the best way to improve your creativity is to go for a walk! Tara takes a look at why walking has such a powerful impact on your ability to think creatively.
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Stanford Study Finds Walking Improves Creativity
http://news.stanford.edu/news/....2014/april/walking-v
"Stanford researchers found that walking boosts creative inspiration. They examined creativity levels of people while they walked versus while they sat. A person's creative output increased by an average of 60 percent when walking."
Journal of Experimental Psychology: Learning, Memory, and Cognition
http://www.apa.org/pubs/journa....ls/releases/xlm-a003
"Four experiments demonstrate that walking boosts creative ideation in real time and shortly after."
Watch More:
Are 10K Steps a Day Necessary?
https://www.youtube.com/watch?v=pwqWC6oBfQs
TestTube Wild Card
http://testtube.com/dnews/dnews-440-skipping-meals?utm_campaign=DNWC&utm_medium=DNews&utm_source=YT
Sitting Will Kill You
https://www.youtube.com/watch?v=nYSOCijcyTc
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Sometimes we let the need for "perfection" rule our creative process. But what if we approached creativity without a set end goal in mind? What if we allowed ourselves to just enjoy creating for its own sake? That creative spark will come and go, but if we try not to force it, perhaps we'll enjoy the process even more.
Every other Monday:
Chase
Marie
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Ana
Orin
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How do students react when high school boys are treated like women in Congress?? CLICK HERE to find out!
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At this year's Aspen Ideas Festival, we asked a group of people who work in media, design, and the arts about how the creative process can lend itself to unlocking solutions. "Creativity is a problem-solving practice," says Anne Libera, director of comedy studies at Second City. "You have to risk, you have to fail—that's how you know where the edge is." Other panelists include Tim Brown, Bran Ferren, JR, Maurice Ashley, Lil Buck, Kelly Leonard, and Jane Chu.
The Big Question is a series inspired by The Atlantic's back-page feature.
Watch more videos: http://www.theatlantic.com/video
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Whisk delivers personalised recipe recommendations to foodies based on their taste profile, shopping preferences, recipes they've saved to their cookbook and more. The service is integrated into many major food publisher sites and used around the world. Visit them here: Grow with Google helps people discover and learn new skills to grow their career or business, taking advantage of the opportunities ahead. See how, with the help of technology, people have successfully achieved their goals, turned their passion into reality, and put new skills into action. https://g.co/GrowEurope
How attention and focus affects creative thinking.
SUBSCRIBE to BrainCraft! Click here: http://ow.ly/rt5IE Talking psychology, neuroscience & why we act the way we do.
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BrainCraft is written and hosted by Vanessa Hill (https://twitter.com/nessyhill) for PBS Digital Studios
Sound design: Joel Werner (http://joelwerner.com)
Research assistant: Zachary Towne
More videos:
The Psychology of Accents http://youtu.be/CSp9ghRymgk
This Video is Just For You http://youtu.be/5FQTK4oRz_w
References:
Harding, R. E. M. (1948). An Anatomy of Inspiration: And An Essay on the Creative Mood. W. Heffer. http://www.worldcat.org/title/anatomy-of-inspiration/oclc/314543120&referer=brief_results
Jung, R. E., Mead, B. S., Carrasco, J., & Flores, R. A. (2013). The structure of creative cognition in the human brain. Frontiers in human neuroscience, 7. http://journal.frontiersin.org..../Journal/10.3389/fnh
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008). The brain's default network. Annals of the New York Academy of Sciences, 1124(1), 1-38. http://www.nslc.wustl.edu/cour....ses/Bio3411/woolsey/
Fassbender, C., Zhang, H., Buzy, W. M., Cortes, C. R., Mizuiri, D., Beckett, L., & Schweitzer, J. B. (2009). A lack of default network suppression is linked to increased distractibility in ADHD. Brain research, 1273, 114-128. http://www.ncbi.nlm.nih.gov/pubmed/19281801
Limb, C. J., & Braun, A. R. (2008). Neural substrates of spontaneous musical performance: an FMRI study of jazz improvisation. PLoS One, 3(2), e1679. http://www.plosone.org/article..../info%3Adoi%2F10.137
Good Reads:
http://www.brainpickings.org/2....012/07/09/an-anatomy
The real neuroscience of creativity http://blogs.scientificamerica....n.com/beautiful-mind
Music by Podington Bear:
"Boop" (http://freemusicarchive.org/mu....sic/Podington_Bear/n
"PrettyBuild" (http://freemusicarchive.org/mu....sic/Podington_Bear/R
"Movin On Up" (http://freemusicarchive.org/mu....sic/Podington_Bear/U
The idea for Cycleswap came about when David Knap was studying at the Science Park in Amsterdam. He realised that students and tourists would always need bikes for getting around the city, especially as the Science Park could not be reached on foot from Amsterdam centre. His idea was to connect students and tourists needing bikes to locals wanting to rent theirs out.
Visit them here: https://www.spinlister.com/cycleswap
Grow with Google helps people discover and learn new skills to grow their career or business, taking advantage of the opportunities ahead. See how, with the help of technology, people have successfully achieved their goals, turned their passion into reality, and put new skills into action. https://g.co/GrowEurope
Let your mind wander: Your next great idea might come when you least expect it.
My Twitter: https://twitter.com/nessyhill | Instagram: https://www.instagram.com/nessyhill/
Subscribe to BrainCraft! http://ow.ly/rt5IE
BrainCraft is created, written and hosted by Vanessa Hill (@nessyhill) and brought to you by PBS Digital Studios. Talking psychology, neuroscience & why we act the way we do.
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Research and writing: Rachelle Oldmixon
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REFERENCES
Ukkola-Vuoti, L., Kanduri, C., Oikkonen, J., Buck, G., Blancher, C., Raijas, P., ... & Järvelä, I. (2013). Genome-wide copy number variation analysis in extended families and unrelated individuals characterized for musical aptitude and creativity in music. PLoS One, 8(2), e56356. http://journals.plos.org/ploso....ne/article/asset?id=
Sawyer, K. (2011). The cognitive neuroscience of creativity: a critical review.Creativity Research Journal, 23(2), 137-154. http://www.unc.edu/home/rksawy....er/PDFs/Neuroscience
Fink, A., Benedek, M., Grabner, R. H., Staudt, B., & Neubauer, A. C. (2007). Creativity meets neuroscience: Experimental tasks for the neuroscientific study of creative thinking. Methods, 42(1), 68-76. http://www.ncbi.nlm.nih.gov/pubmed/17434417
Berkowitz, A. L., & Ansari, D. (2008). Generation of novel motor sequences: the neural correlates of musical improvisation. Neuroimage, 41(2), 535-543. https://www.wpi.edu/Images/CMS..../HUA-CIMA/2008_Berko
Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., & Macrae, C. N. (2007). Wandering minds: the default network and stimulus-independent thought. Science, 315(5810), 393-395. http://www.ncbi.nlm.nih.gov/pm....c/articles/PMC182112
Kane, M. J., Brown, L. H., McVay, J. C., Silvia, P. J., Myin-Germeys, I., & Kwapil, T. R. (2007). For whom the mind wanders, and when an experience-sampling study of working memory and executive control in daily life.Psychological science, 18(7), 614-621. http://www.ncbi.nlm.nih.gov/pubmed/17614870
Bhattacharya, J., & Petsche, H. (2005). Drawing on mind's canvas: Differences in cortical integration patterns between artists and non-artists. Human Brain Mapping, 26, 1-14. Bhattacharya, J., & Petsche, H. (2005). Drawing on mind's canvas: Differences in cortical integration patterns between artists and non‐artists.Human brain mapping, 26(1), 1-14.
IMAGES
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HotelOga is an app that facilitates efficient hotel booking systems in African countries. Operating in the B2B sector, it connects hotels with travel agencies, helping individual businesses to process as many bookings as possible, and also gives smaller hotels a chance to compete with larger ones.
Visit them here: https://hotelonline.co/
Grow with Google helps people discover and learn new skills to grow their career or business, taking advantage of the opportunities ahead. See how, with the help of technology, people have successfully achieved their goals, turned their passion into reality, and put new skills into action. https://g.co/GrowEurope
What does it take to come up with a new idea? In this beautifully illustrated RSA Short, award-winning mathematician Cédric Villani reveals the seven key ingredients that come together to create breakthrough moments in human knowledge and innovation. Watch the full talk (RSA Replay): https://youtu.be/iEWvTt1EFWs. Watch the edited talk (RSA Spotlight): https://youtu.be/z9-y12Q5YxA
Voice: Cedric Villani
Illustration & animation: Aurelia Lange http://www.aurelialange.co.uk/
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The myABCKit project was launched in 2015 with the ambitious goal of driving real change in primary education, both in Spain and the rest of the world. The main idea behind the platform is to provide children with a personalised approach to language learning with content relevant to each individual child, including games and exercises adapted to different levels and paces.
Visit them here: https://www.myabckit.com/
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Octo have developed software to record consumption and feed-in through power generation. They also analyse data, so that they can advise both suppliers and consumers.
Visit them here: https://www.octo.com/en
Grow with Google helps people discover and learn new skills to grow their career or business, taking advantage of the opportunities ahead. See how, with the help of technology, people have successfully achieved their goals, turned their passion into reality, and put new skills into action. https://g.co/GrowEurope
"a great artist is but a conduit for an expression that resonates with something that is greater than him or herself"
Khalil Gibran
“Your children are not your children. They are the sons and daughters of Life's longing for itself.”
http://www.katsandogz.com/onchildren.html
Join Jason Silva every week as he freestyles his way into the complex systems of society, technology and human existence and discusses the truth and beauty of science in a form of existential jazz. New episodes every Tuesday.
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In this video, you’ll learn more about what makes and defines art. Visit https://edu.gcfglobal.org/en/c....reativity/what-is-ar to learn even more.
We hope you enjoy!
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
Fabulous helps people instil positive habits into their daily routines. From exercising more to eating better, the Android app makes it easy to maintain a healthy lifestyle and improve general well-being. “We wanted to create something that can help you transform your life,” says CEO Sami Ben Hassine. “It’s about deciding what’s good for you and implementing this, so little by little you gain mastery over yourself.”
Visit them here: https://thefabulous.co/
Grow with Google helps people discover and learn new skills to grow their career or business, taking advantage of the opportunities ahead. See how, with the help of technology, people have successfully achieved their goals, turned their passion into reality, and put new skills into action. https://g.co/GrowEurope
Everytap is an app which works in partnership with cafes and restaurants to provide users with special offers, which in turn increases traffic and sales for these partners. In 2015, Everytap became The Mobile Application of the Year in the Start-Ups category at the Mobile Trends Awards; and since September 2015 Everytap has been working in collaboration with TVN Ventures.
Visit them here: https://everytap.com/pl/
Grow with Google helps people discover and learn new skills to grow their career or business, taking advantage of the opportunities ahead. See how, with the help of technology, people have successfully achieved their goals, turned their passion into reality, and put new skills into action. https://g.co/GrowEurope
When Darko Dujič, CEO of Slovenian e-commerce platform Ceneje.si, completed the digital courses available on Google’s Digitalna Garaža (Digital Garage), he was so impressed that he encouraged everyone in the company to complete the training. It was an opportunity to build the digital knowledge and capabilities of the entire team, regardless of their level of experience. Completing the training has become a requirement for all new employees joining the company.
Visit them here: Ceneje.si
Grow with Google helps people discover and learn new skills to grow their career or business, taking advantage of the opportunities ahead. See how, with the help of technology, people have successfully achieved their goals, turned their passion into reality, and put new skills into action. https://g.co/GrowEurope
Lambda Legal launched #OutatWork, to raise awareness on the workplace discrimination for LGBT workers and people living with HIV. In this video, learn about workplace discrimination.
Visit http://outat.work and use #OutAtWork to follow the conversation on Twitter.
Confused by which path to take for his career, Aaron made the risky decision to drop out of Business school to pursue his passion: Computer Science. Looking to self-learn, he applied and got accepted into the Google scholarship for Udacity's Associate Android Fast Track course. He went on to earn the Associate Android Developer Certification and is now a Junior Android Developer at SinnerSchrader Swipe in Berlin.
Udacity scholarships 2017 for Web or Android developer courses are now open. Apply here: https://goo.gl/X3N3W6
Grow with Google helps people discover and learn new skills to grow their career or business, taking advantage of the opportunities ahead. See how, with the help of technology, people have successfully achieved their goals, turned their passion into reality, and put new skills into action. https://g.co/GrowEurope
Tackling inappropriate behaviour at work isn’t just about having the right policies in place. It’s about everyone taking effective action to challenge bullying, harassment and other unacceptable conduct and create a diverse and respectful working environment.
A short extract from the range of Skill Boosters e-learning and video based training resources looking at equality and diversity in the workplace. Access all the courses online now at www.skillboosters.com