Teaching

Currently Offered:

Stat 19, Seminar 2: Fiat Lux - Vision for the Blind Winter 2004.

Stat 231: Pattern Recognition and Machine Learning
(Cross listing with CS 276A)
Fall,  2006 - MW 12:30 - 1:45 PM – Math/Sciences 5147.

Stat 202C: Markov Chain Monte Carlo and Optimization
Spring,  2006 - MW 4:00 - 5:30 PM. Math/Sciences 5203.

Stat 153: Statistical Analysis with Missing Data
Fall,  2006 - MW 2:00 - 3:20 PM. MS 5203.

Psych 269: Course Description

Stat 238: Vision as Bayesian Inference
Fall,  2007 – Tu/Thurs 9:30 – 10:50 AM. MS 7608.

Stat 161/261: Introduction to Machine Learning

Spring, 2008 – MWF 10:00-11:00. MS 5203.

Stat 239: Probabilistic Models of Cognition:

Winter 2008. Mondays.

Previously Taught Courses:

Computer Vision. CS. 283. Harvard University. Spring
1987, Spring 1989, Spring 1992, Spring 1995.

Applied Mathematics 105a.. Harvard University. Fall 1988,
1989, 1991.

Applied Mathematics 105b.. Harvard University. Spring 1991.

Physical and Biological Models of Computation. ES 253
Harvard University. 1989-90. Fall 1990, Spring 1993.

Vision for Brains and Computers. Harvard Extension
School. CAS 227, Fall 1987. CSCI-E 227, Fall 1988, Fall 1989 With
N.M. Grzywacz.

Engineering Sciences 201. Harvard University. Fall 1992, 1994.

Computer Science 181., Harvard University. Spring. 1994.

Reading Courses in Computer Vision and Neural Networks. Harvard
University. 1986-1995.