Spring Quarter, 2004

Stanford University offers a variety of courses in computational learning and related topics, but these are spread across a number of departments. This page includes pointers to many of the relevant courses offered during Spring quarter, 2004.

• SYMBSYS 143/243    Cognitive Architectures    Daniel Shapiro and Michael Freed

• CS 224    Natural Language Processing    Christopher Manning

• CS 226    Statistical Techniques in Robotics    Sebastian Thrun

• STATS 270    A Course in Bayesian Statistics    Persi Diaconis

• CS 274/BIOMEDIN 214    Representations and Algorithms for Computational Molecular Biology    Russ Altman

• CS 329    Computational Methods for Scientific Reasoning and Discovery    Pat Langley and Stephen Bay

• STATS 315B    Data Mining    Jerome Friedman

• EE 373B    Adaptive Neural Networks    Bernard Widrow

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