Materials for Selected Online Courses
- Linear Algebra by Prof. Gilbert Strang (MIT), Course Link, Course with Chinese Subtitles
- Convex Optimization I by Prof. Stephen Boyd (Stanford), Course Link
- Convex Optimization II by Prof. Stephen Boyd (Stanford), Course Link
- Algebra and Computation (MIT 6.S897) by Prof. Madhu Sudan (MIT, Harvard), Course Link
- Discrete Stochastic Processes (MIT 6.262) by Prof. Robert Gallager (MIT), Course Link
- Nonlinear Systems (C21) by Prof. Mark Canoon (Oxford), Course Link
- Linear Dynamical Systems (EE363) by Prof. Stephen Boyd (Stanford), Course Link
- Linear Control (EE263) by Prof. Stephen Boyd (Stanford), (original slides) no course link available. But there is a related course by Prof. Sanjay Lall, new courses
- Stochastic Control (EE365) by Prof. Stephen Boyd (Stanford), (original slides) Course Link. There is also a related course by Prof. Sanjay Lall, EE266 EE365
- Dynamic Programming and Stochastic Control (MIT 6.231) by Prof. Dimitri Bertsekas, course website, and a 6-lecture short version at Tsinghua University, Beijing, China, June.2014, videos on youtube and a 4-lecture short version at University of Cyprus, videos on youtube. More useful materials available at this page.
- Introduction to Time Series by Prof. Peter Bartlett (Berkeley), Course Link
- Maching Learning by Prof. Andrew Ng (Stanford), Couresa Course Link
- Machine Learning (CS229) by Prof. Andrew Ng (Stanford), Course Link
- Intermediate Statistics by Prof. Larry Wasserman (CMU), Course Link ,All Videos Here
- Statistical Machine Learning by Prof. Larry Wasserman (CMU), Course Link including videos.
- Restructured Electricity Markets: Locational Marginal Pricing by Prof. Ross Baldick (UT Austin), course link, videos and slides link
- Spectral Graph Theory by Prof. Daniel Spielman (Yale), Course Link, it also provides some helpful notes (links to other courses).
- A Course by Prof. Clifford Stein (Columbia), link
- Networks by Prof. Daron Acemoglu and Prof. Asu Ozdaglar (MIT) Course Link. It covers some popular results about networks, network economics and game theory. The reading list is quite helpful.