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Computational Music Theory and Analysis

This course introduces major approaches to symbol-based music theory and musicology. Learners will explore various topics, including music theory algorithms, music generation, and machine learning.

10 learners are taking this course

Level Beginner

Course period Unlimited

Statistics
Statistics
probability
probability
analysis
analysis
theory
theory
computation
computation
Statistics
Statistics
probability
probability
analysis
analysis
theory
theory
computation
computation
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What you will gain after the course

  • I can implement music theory algorithms.

  • You can analyze music data using Python.

  • You can design and experiment with music generation models.

Recommended for
these people

Who is this course right for?

  • Someone who struggles because they do not understand music theory

  • People who want to analyze music without programming

  • Someone who wants to apply machine learning to music

Need to know before starting?

  • If you have basic knowledge of music theory

  • If you have programming experience

  • If you are interested in music data analysis

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49 lectures ∙ (23hr 47min)

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