Spring 2007

• Advanced Topics in Graphical Models Instructor: Eric Xing
• NLP Lab (FST track) Instructor: Kemal Oflazer and Shuly Wintner

Fall 2005

• Probabilistic Graphical Models Instructor: Eric Xing and Carlos Guestrin

Fall 2004

• Advanced Statistical Learning Seminar Instructor: Yiming Yang

Spring 2004

• Statistical Foundations of Machine Learning Instructor: John Lafferty, Teddy Seidenfeld and Larry Wasserman
• Machine Learning Approaches to Information Extraction and Information Integration Instructor: William Cohen
• Graphical Models Reading Group

Fall 2003

• Software Engineering for IT (I) Instructor: Eric Nyberg
• Machine Learning Instructor: Andrew W. Moore

Spring 2003

• Information Retrieval. Instructor: Yiming Yang, Jamie Callan
• Language and Statistics. Instructor: John Lafferty

Fall 2002

• Algorithms for Natural Language Processing. Instructor: Alon Lavie, Bob Frederking
• Probability and Data Analysis for Computer Science. Instructor: John Lafferty