Machine Learning: http://www.ml-class.org/course/auth/welcome
Artificial Intelligence: https://www.ai-class.com/
Database: http://www.db-class.org/course/auth/welcome
Lean Launchpad: http://www.launchpad-class.org/
Information Theory: http://www.infotheory-class.org/
Software Engineering for SaaS: http://www.saas-class.org/
Natural Language Processing: http://www.nlp-class.org/
Probabilistic Graphical Models: http://www.pgm-class.org/
Design and Analysis of Algorithm 1: http://www.algo-class.org/
Computer Vision: http://www.vision-class.org/
CV 3D reconstruction to visual recog: https://www.coursera.org/course/computervision
Algorithms, Part 1: https://www.coursera.org/course/algs4partI
DSP for Communications: http://www.sp4comm.org/
Startup Engineering (very good for practical UNIX tutorial, git, heroku, aws): https://class.coursera.org/startup-001/class/index
Programming Languages (may make me a better programmer?). See the software installation (Emacs, ML etc.): https://class.coursera.org/proglang-002/wiki/view?page=SoftwareInstallation
http://ivans-helloudacity.appspot.com/
http://matlabbyexamples.blogspot.jp/2011/03/starting-with-neural-network-in-matlab.html
http://www.mathworks.com/matlabcentral/newsreader/view_thread/82126
Math competition: http://www.brilliantscholars.com/