MIT 21M.383 Computational Music Theory and Analysis, Spring 2023
5.0
(2)
18 learners
What you'll learn
This course includes
- 23.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 47 lessons • 23.5 hours of video
MIT 21M.383 Computational Music Theory and Analysis, Spring 2023
47 lessons
• 23.5 hours
MIT 21M.383 Computational Music Theory and Analysis, Spring 2023
47 lessons
• 23.5 hours
- Video 0: Overview of 21M.383 Computational Music Theory for OCW Learners 01:28
- Class 1 Video: How Do Computers "Hear" Music? 54:36
- Video 1a: music21 Coding Tutorial for OCW Learners 11:57
- Class 2 Video: Representation of Notes, Pitches, and Durations 01:02:45
- Video 3a: Introduction to Pitch Representation 01:32
- Video 3b: Pitch Representation: Pros, Cons, and Stakeholders 02:45
- Video 3c: How to Approach the Problem Sets 04:26
- Class 4 Video: Intro to Scores and Music Representation 01:10:05
- Video 4a: How to Read an Academic Article 07:05
- Video 4b: Music Representation in General 08:24
- Class 5 Video: Music Representation (II) 51:49
- Video 6a: Music Representation (III): Unlocking Pitch in music21 18:21
- Video 6b: Representations of Ontologies: Craig Sapp’s Rosetta Stone 16:08
- Class 7 Video: Music Representation (IV) & Hierarchies (I) 01:06:22
- Video 7a: Unlocking Duration and Note Objects in music21 14:38
- Video 7b: Streams as Hierarchies: Types of Containers in music21 01:25
- Video 7c: music21 Streams, Corpus, and Meter Features 13:40
- Video 7d: Partwise vs. Timewise Polyphonic Representations 07:17
- Class 8 Video: Hierarchies (II): Streams and Recursions 44:47
- Video 9a: Music Information Retrieval (MIR): Sound to Score and Music Theory 13:14
- Video 9b: Introduction to MusicXML 11:20
- Video 9c: Interview with Michael Good on MusicXML 18:03
- Class 10 Video: Equivalence and Intervals (I); Hierarchies (IV) 01:03:52
- Video 10a: Review: Equivalence Classes and OPTIC 15:45
- Class 11 Video: Equivalence and Intervals (II) and Filters in music21 54:32
- Video 12a: Painting Emotions in Music and Text 21:30
- Video 12b: Chorales as a Corpus 05:06
- Video 12c: Graphing and Plotting in music21 09:03
- Video 12d: How to Work with Ties in music21 05:59
- Class 13 Video: Corpus Studies and Statistics 58:11
- Class 14 Video: Corpus Studies and Statistics (II) 47:37
- Class 15 Video: Encoding Corpora and Voice Leading 01:03:13
- Class 17 Video: Introduction to Music Cognition 15:17
- Classes 18-21 Video: Brief Synopsis of Guest Sessions on Music Cognition 09:21
- Video 22a: Chord Review and 13 Chords: Some Problems with Roots 15:09
- Video 22b: Problem Sets 7-8: Working and Composing with Scales, Chords, and Roman Numerals 03:26
- Video 22c: Algorithmic Improvisation: Intro to George Lewis 02:18
- Class 23 Video: Algorithmic Composition 52:29
- Class 24 Video: Algorithmic Composition (II) 01:11:04
- Class 25 Video: Algorithmic Composition (III) 59:39
- Video 26a: Vocabulary Reduction 24:00
- Class 27 Video: Feature Extraction and Machine Learning 01:10:15
- Class 28 Video: Feature Extraction and Machine Learning (II) 51:10
- Video 29a: Feature Extraction and Machine Learning (III): Artificial Intelligence 01:10:55
- Class 30 Video: Mathematical and Statistical Musicology 01:02:21
- Class 31 Video: Music Visualization and Optical Music Recognition 54:19
- Video 32a: Tipping the Iceberg 19:35
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