Computational Music Theory and Analysis

3-0-9 units · Graduate

Covers major approaches to analyzing musical scores using computers. Topics include AI/machine learning of style, musical similarity, encoding, music composition, music perception, and big data repertory studies. Programming assignments given in Python. Culminates in an original final project. Students taking graduate version complete different assignments. Enrollment limited.