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Admissions: Courses

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
• 050.320/620 Syntax I
• 050.321/621 Syntax II
• 050.325/625 Phonology I
• 050.327/627 Phonology II
• 050.330 Psycholinguistics
• 050.630 Topics in Language Processing

Computer Science

• 600.405-406 Finite-State Methods in Natural Language Processing Prof. Eisner
• 600.465 Introduction to Natural Language Processing Prof. Eisner
• 600.466 Information Retrieval and Web Agents Prof. Yarowsky
• 600.475 Machine Learning Prof. Dredze
• 600.665 Statistical Language Learning Prof. Eisner
• 600.765 Seminar in Natural Language Processing Prof. Eisner

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. Khudanpur
• 520.674 Information Theoretic Methods in Statistics Prof. Khudanpur
• 520.735 Sensory Information Processing Prof. Andreou
• 520.774 Kernel Machine Learning Prof. Cauwenberghs