Spring 2003:

• Graduate Algorithms      (Manuel Blum)
• Information Retrieval      (Jamie Callan & Yiming Yang)

Fall 2002:

• Time Series Analysis      (Anthony Brockwell)
• Non-parametric Methods      (Larry Wasserman)

Spring 2002:

• KDD Lab      (Tom Mitchell)
• Statistical Approaches to Learning and Discovery      (Teddy Seidenfeld & Zoubin Ghahramani)
• Multimedia Databases and Datamining      (Christos Faloutsos)

Fall 2001:

• Machine Learning      (Andrew Moore)
• Intermediate Statistics      (Chris Genovese)