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course.jemdoc
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# jemdoc: menu{MENU}{example.html} addcss {}
### jemdoc: addcss{table}
= iTunes-U and Coursera
== Finance
- [http://ocw.mit.edu/courses/sloan-school-of-management/15-401-finance-theory-i-fall-2008/index.htm MIT 15.401] Finance Theory I [https://itunes.apple.com/us/itunes-u/financial-theory-video/id428500350 iTunes] \| [http://ocw.mit.edu/courses/sloan-school-of-management/15-401-finance-theory-i-fall-2008/video-lectures-and-slides/ MITOC Video]
- [http://oyc.yale.edu/economics/econ-251 Yale ECON251] Financial Theory, John Geanakoplos, [http://oyc.yale.edu/economics/econ-251\#sessions Fall 2009 Video] \| [https://itunes.apple.com/us/itunes-u/financial-theory-video/id428500350 iTunes] \n
== Algorithms/Optimization
- [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-00-introduction-to-computer-science-and-programming-fall-2008/video-lectures/ MIT 6.00] Introduction to Computer Science and Programming Fall 2008 [https://itunes.apple.com/cn/itunes-u/introduction-to-computer-science/id341597455 iTunes +Local Lecture+ ] \n
[https://developers.google.com/edu/python/introduction Google Python Training ] [http://docs.python.org/2.7/tutorial/ Python Docs] Good Course For Programming Overall.
- [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-fall-2011/ MIT 6.006] Introduction to Algorithms, Erik Demaine and Srinivas Devadas, Fall 2011 iTunes
- [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/video-lectures/ MIT 6.042J] Mathematics for Computer Science, Tom Leighton [https://itunes.apple.com/us/itunes-u/mathematics-for-computer-science/id503873536 iTunes] +Local Lecture+ \n
- [https://www.coursera.org/course/optimization MOOC Melbourne] Discrete Optimization Pascal Van Hentenryck
== Data Science/Machine Learning
- [http://datascienc.es/spring-2011-course/ CS194-16] Introduction to Data Science, Sprint 2011, +Tons of resource+
- [http://www.stanford.edu/class/cs246/index.html Stanford CS246] Mining Massive Data Sets, Jure Leskovec [https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV Youtube] [http://web.stanford.edu/class/stats202/ Stanford STATS 202 ] Data Mining and Stats
- [https://class.coursera.org/vlsicad-001/class VLSI CAD: Logic to Layout ] Rob A. Rutenbar Illinois \| +Selected Lecture Only+: ASIC Placement, ASIC Routing, Timing Analysis
- [http://www.statsoft.com/textbook/ StatSoft Textbook]