Fall 2006

• 15-849N: Probabilistic Graphical Models
  Instructor: Prof. Carlos Guestrin

Fall 2005

• 15-849N: Spectral Graph Theory and Scientific Computing
  Instructor: Prof. Gary L. Miller

Spring 2005

• 15-745 Optimizing Compilers for Modern Architecture
  Instructor: Prof. Seth Copen Goldstein

• 15-826 Multimedia Databases and Data Mining
  Instructor: Prof. Christos Faloutsos

Fall 2004

• 36-728 Time Series Analysis
  Instructor: Prof. Lan Zhang

• 15-814 Type Systems for Programming Languages
  Instructor: Prof. Robert Harper

• 36-707 Regression Analysis
  Instructor: Prof. Larry Wasserman

Spring 2004

• 15-721: Database System Design and Implementation (red book supplement) [project link]
  Instructor: Prof. Anastassia Ailamaki

• 15-750: Graduate Algorithms
  Instructor: Prof. Manuel Blum

• 15-802: Statistical Foundations of Machine Learning
  Instructor: Prof. John Lafferty
  　& Prof. Teddy Seidenfeld & Prof. Larry Wasserman

Fall 2003

• 15-781 Machine Learning
  Instructor: Prof. Tom M. Mitchell & Prof. Andrew W. Moore

• 15-829D: Data Stream Processing
  Instructor: Prof. Christopher Olston

• 36-625: Probability and Statistics I
  Instructor: Prof. Valerie Ventura
  　

Spring 2003

• COMP 573 Computational Geometry

• COMP 660H: Topics in Computer and Communication networks

Fall 2002

• COMP530  Database Architecture and Implementation

• COMP 630F Databases meet Networks

• COMP 697A: Spatio-temporal Databases (reading course)

Spring 2002

• COMP 537: Knowledge Discovery and Data Mining in Databases