The Beginning Engineering, Science, and Technology (BEST) team teaches a playful lesson about the challenges of living away from planet Earth. There’s no free delivery in outer space!
Want more? Subscribe to NASA on iTunes!
http://phobos.apple.com/WebObjects/MZStore.woa/wa/viewPodcast?id=283424434
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Duration : 0:2:43
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on the different problems that are included within convex optimization for the course, Convex Optimization I (EE 364A).
Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interior-point methods. Applications to signal processing, control, digital and analog circuit design, computational geometry, statistics, and mechanical engineering.
Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=3940DD956CDF0622
EE 364A Course Website:
http://www.stanford.edu/class/ee364
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford/
Duration : 1:16:10
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on how unconstrained minimization can be used in electrical engineering and convex optimization for the course, Convex Optimization I (EE 364A).
Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interior-point methods. Applications to signal processing, control, digital and analog circuit design, computational geometry, statistics, and mechanical engineering.
Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=3940DD956CDF0622
EE 364A Course Website:
http://www.stanford.edu/class/ee364
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford/
Duration : 1:16:45
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture upon duality for the course, Convex Optimization I (EE 364A).
Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interior-point methods. Applications to signal processing, control, digital and analog circuit design, computational geometry, statistics, and mechanical engineering.
Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=3940DD956CDF0622
EE 364A Course Website:
http://www.stanford.edu/class/ee364
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford/
Duration : 1:16:35
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on how equality constrained minimization is utilized in electrical engineering for the course, Convex Optimization I (EE 364A).
Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interior-point methods. Applications to signal processing, control, digital and analog circuit design, computational geometry, statistics, and mechanical engineering.
Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=3940DD956CDF0622
EE 364A Course Website:
http://www.stanford.edu/class/ee364
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford/
Duration : 1:13:59
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on convex and concave functions for the course, Convex Optimization I (EE 364A).
Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interior-point methods. Applications to signal processing, control, digital and analog circuit design, computational geometry, statistics, and mechanical engineering.
Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=3940DD956CDF0622
EE 364A Course Website:
http://www.stanford.edu/class/ee364
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford/
Duration : 1:17:14
An often debated topic by those who don’t think The Venus Project will work is the notion that we don’t have the technology to pull this off. This video addresses this. If you want the full uncut version, let me know.
www.thevenusproject.com
www.thezeitgeistmovement.com
“Our Technical Reality”
Full Download Torrent:
NTSC DVD:
http://isohunt.com/release/436489
PAL DVD:
http://isohunt.com/release/436497
AVI:
http://isohunt.com/release/436501
Duration : 0:8:41
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives the introductory lecture for the course, Convex Optimization I (EE 364A).
Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interior-point methods. Applications to signal processing, control, digital and analog circuit design, computational geometry, statistics, and mechanical engineering.
Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=3940DD956CDF0622
EE 364A Course Website:
http://www.stanford.edu/class/ee364
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford/
Duration : 1:20:33
On March 10th I addressed the Humanists of Houston, and fortunately, they have a videographer who records the meetings. Here’s my presentation/lecture. I have already analyzed it myself for things done well and wrong, and where I can improve, but I hope it helps people understand what the Venus Project is all about, in a more candid, relaxed and “informal” discussion.
Duration : 0:9:40
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on duality in the realm of electrical engineering and how it is utilized in convex optimization for the course, Convex Optimization I (EE 364A).
Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interior-point methods. Applications to signal processing, control, digital and analog circuit design, computational geometry, statistics, and mechanical engineering.
Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=3940DD956CDF0622
EE 364A Course Website:
http://www.stanford.edu/class/ee364
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford/
Duration : 1:16:30
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture on convex functions in electrical engineering for the course, Convex Optimization I (EE 364A).
Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=3940DD956CDF0622
Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interior-point methods. Applications to signal processing, control, digital and analog circuit design, computational geometry, statistics, and mechanical engineering.
EE 364A Course Website:
http://www.stanford.edu/class/ee364
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford/
Duration : 1:13:38
Atlantic Corridor conference on science, technology, engineering and maths (STEM) education on 25 February 2010 in Tullamore Court Hotel, Co. Offaly. This was filmed by Discover Science & Engineering (DSE) – www.discover-science.ie
Duration : 0:5:46
CollegeGrad.com – Career Videos, Science, Technology, Engineering and Mathematics. They keep refrigerators running and space labs in the sky. People who work in scientific engineering and technical services have a wide range of training and education, yet they share a common talent for problem solving.
Duration : 0:1:49
The head TA for Introduction to Chemical Engineering (E20) fills in for Professor Channing Robertson and gives an overview of the apheresis machine.
Introduction to Chemical Engineering (E20) is an introductory course offered by the Stanford University Engineering Department. It provides a basic overview of the chemical engineering field today and delves into the applications of chemical engineering.
Stanford Chemical Engineering Department:
http://cheme.stanford.edu/
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford/
Duration : 1:0:4
Lecture 4: Designing homework and exam problems
See the complete course at: http://ocw.mit.edu/5-95js09
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
Duration : 1:41:43
Professor Channing Robertson of the Stanford University Chemical Engineering Department discusses the design and function of an apheresis machine.
Introduction to Chemical Engineering (E20) is an introductory course offered by the Stanford University Engineering Department. It provides a basic overview of the chemical engineering field today and delves into the applications of chemical engineering.
Stanford Chemical Engineering Department:
http://cheme.stanford.edu/
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford/
Duration : 0:51:16
Opening Remarks
Ikhlaq Sidhu, Professor, Industrial Engineering & Operations Research and Director, Center for Entrepreneurship & Technology
Shankar Sastry, Dean of the College of Engineering
Lesa Mitchell, Vice President, Ewing Marion Kauffman Foundation
Session 1: Energy and Technology
Moderator: Todd Woody, Senior Editor, Fortune Magazine author of the Green Wombat Blog
Oil Independence via Sustainable Mobility
Shai Agassi, Founder and CEO, Better Place
Thermoelectrics for Efficient Energy
Arunava Majumdar, Professor, Mechanical Engineering and Materials Science and Engineering, University of California, Berkeley
Affordable Zero Energy Home
Tom Siebel, Chairman, First Virtual Group
http://tls.berkeley.edu/GTLconference.html
Duration : 1:45:19
Lecture 6: Teaching interactively in large and small groups
Note: Additional material was added to replace the missing material due to technical difficulties.
See the complete course at: http://ocw.mit.edu/5-95js09
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
Duration : 1:13:0