Teaching

• Spring 2008: EE515 Information Theory - II
• Fall 2006: EE235 Signals and Systems
• Spring 2006: EE512 Graphical Models
• Winter 2006: EE511 Information Theory I
• Fall 2005: EE235 Signals and Systems
• Spring 2005: EE596 Artificial Intelligence for Electrical Engineers
• Winter 2005: EE516 Speech Recognition
• Fall 2004: EE235 Signals and Systems
• Spring 2004: EE596B Graphical Models
• Winter 2004: EE595A, Information Theory
• Spring 2003: EE235, Signals and Systems
• Spring 2003: EE516 Speech Recognition
• Fall 2002: EE518, Graduate introduction to digital signal processing
• Spring 2002: EE596 Pattern Recognition with Graphical Models.
• Winter 2001: EE595 Information Theory
• Fall 2001: EE518, Graduate introduction to digital signal processing
• Spring 2001: Along with Marina Meila-Predoviciu from the statistics department, an advanced seminar on information theory and statistics entitled Information Theory, Statistics and Machine Learning.
• Winter 2001: EE516, Computer Speech processing and recognition.
• Fall 2000: EE518, Graduate introduction to digital signal processing
• Spring 2000: EE596 Introduction to graphical models for pattern recognition.
• Winter 2000: EE595 Information Theory

Regular Seminars that I run:

Graphical Reading Group

Probabilistic Reasoning with Graphical Models With Marina Meila.

In the past, I also ran the SSLI-lab speech, language, and machine learning reading seminar series