Teaching

Furious activity is no substitute for understanding. - H.H. Williams

Current Course Offerings
I will be offering a course in the spring of 2010. Details soon.

Typical Course Offerings

• CSC310F Information Theory (undergrad)
• CSC2515F Machine Learning (grad)
• CSC412/2506S Uncertainty and Learning in AI (crosslisted grad/undergrad, every other year)

Past Courses at the University of Toronto

• CSC2515 Machine Learning (2002, 2003, 2004, 2005, 2006)
• CSC412 Uncertainty and Learning in Artificial Intelligence (2002, 2003, 2004, 2006)
• CSC2506 Probabilistic Reasoning [cross-listed version of CSC412] (2004, 2006)
• CSC310 Information Theory (2005, 2006)
• ECE242 Algorithms and Data Structures (undergrad engineering) ( fall 2003)

Course Descriptions

Informal Notes and Lecture Slides

• Matrix and Gaussian identities (useful!)
• Speech Processing Background (possibly useful)
• other outdated materials, probably useless...

External Tutorials

• HMMs, Linear Dynamical Systems, Unsupervised Learning, SVMs, VC Theory,...

Previous Teaching and Outreach

• GCNU: Unsupervised Learning
• Caltech: Collective Computation (CNS185) (1996) (new)
  
• Caltech: Learning Theory (CNS156) (1996) (new)
  
• Caltech: CNS Basic Math Class (1995)
  
• U.Toronto: Aerospace Projects Design Lab (AER201S)
• Science Outreach

Sam Roweis, Vision, Learning and Graphics Group, NYU, www.cs.nyu.edu/~roweis