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Courses of particular interest to CLSP graduate students are listed below by department.
Cognitive Science
- 050.370/670 Formal Methods in Cognitive Science: Language Prof. Frank
- 050.371/671 Formal Methods in Cognitive Science: Inference Prof. Smolensky
- 050.372/672 Formal Methods in Cognitive Science: Neural Networks Prof. Smolensky
- 050.317/617 Semantics I Prof. Frank
- 050.320/620 Syntax I Prof. Burzio
- 050.321/621 Syntax II Prof. Frank
- 050.325/625 Phonology I Prof. Burzio
- 050.327/627 Phonology II Prof. Burzio
- 050.330 Psycholinguistics Prof. Badecker
- 050.630 Topics in Language Processing Prof. Badecker
Computer Science
Electrical and Computer Engineering
- 520.419 Theory of Iterative Algorithms Prof. Meyer
- 520.447 Introduction to Information Theory and Coding Prof. Khudanpur
- 520.478 Theory & Practice of Large Vocab. Speech Recognition Prof. Byrne
- 520.644 Pattern Theory: From Representation to Inference Prof. Miller
- 520.666 Information Extraction from Speech and Text Prof. Jelinek
- 520.674 Information Theoretic Methods in Statistics Prof. Khudanpur
- 520.735 Sensory Information Processing Prof. Andreou
- 520.774 Kernel Machine Learning Prof. Cauwenberghs
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