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21M.383 | Spring 2023 | Undergraduate, Graduate

# Computational Music Theory and Analysis

Most PSets will involve thinking and programming by yourself (or collaborating with others if declared). Some will be more written or less technical.

For technical PSets, there will be a Jupyter notebook with the extension `.ipynb` from back when Jupyter was called IPythonNotebook for you to download.

Problem sets may involve outside readings that will help you understand the problems.

Here’s a little video on how individual parts of the assignment work:

Video 3c: How to Approach the Problem Sets

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- Download transcript

(Errata: I meant D## == F-)

Note again two things already said above:

1. Unlike some computer science class assignments, you will not be given many, if any, sample test cases to use to see if your functions work. Part of the learning in this class is thinking through what corner cases you will need to handle to succeed. Any curriculum that does not instill this into you is not preparing you to write user-facing code. Any group you work with will always appreciate very cool test cases.
2. Documenting code and using good variable names are part of the assignment. You’ll find that in the first few PSets, there’s not much to do there, but over time, as you need to write more and more complex code to solve the problems (with multiple methods, etc.) you will have much more choice about how to implement what you do. Make sure it is legible.

## Course Info

##### Instructor

- Prof. Michael Scott Asato Cuthbert

##### Departments

- Music and Theater Arts

##### As Taught In

Spring 2023

##### Level

Undergraduate
Graduate

##### Topics

- Fine Arts
  - Music
    - Music History
    - Music Theory
- Mathematics
  - Computation
  - Mathematical Analysis
  - Probability and Statistics

##### Learning Resource Types

notes Lecture Notes
theaters Lecture Videos
theaters Other Video
assignment Multiple Assignment Types
grading Exams
Editable Files

Browse Resources

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