Computational Music Theory and Analysis
21M.383 · Music and Theater Arts · Undergraduate, Graduate · Spring 2023
Prof. Michael Scott Asato Cuthbert
This course presents major approaches to computational music theory and musicology in the symbolic (score-based) domain. It covers algorithms for music theory, encoding, corpus studies, musical search and similarity, feature extraction and machine learning, music generation, and computational music perception. Other topics include repertory access and computational bias. Programming assignments are in Python using the MIT-created music21 toolkit.
The syllabus, on MIT OpenCourseWare
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Attribution
Prof. Michael Scott Asato Cuthbert. 21M.383 Computational Music Theory and Analysis. Spring 2023. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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