Beginner Lessons

Lecture 14: The Bourgain Projection Theorem Part 1 (over the Real Numbers)

Lecture 12: The Bourgain-Katz-Tao Projection Theorem

Lecture 17: Random Walks on Finite Groups, Part 1

Session 5-3: Introduction to Design of GENs

Session 8-2: Framingham, Massachusetts UTEN Pilot Project Overview

Session 6-2: Emerging Code & Standards for Ambient Temperature Loops

Session 8-1: ATL District Systems Overview

8-4: Intro to the MIT Thermal Energy Networks Plan for Rapid, Cost-Effective Campus Decarbonization

Session Introduction: Geothermal Energy Networks: Transforming Our Thermal Energy System

Session 7-2: Learning from Geothermal Energy Networks

Session 6-3: Introduction to Drilling Geothermal Boreholes

Session 5-1: Introduction to Geothermal Heat Pumps

Class 15 Video: Encoding Corpora and Voice Leading

Video 7b: Streams as Hierarchies: Types of Containers in music21

Video 22b: Problem Sets 7-8: Working and Composing with Scales, Chords, and Roman Numerals

Video 7a: Unlocking Duration and Note Objects in music21

Video 12d: How to Work with Ties in music21

Class 27 Video: Feature Extraction and Machine Learning

Video 7c: music21 Streams, Corpus, and Meter Features

Video 12c: Graphing and Plotting in music21

Video 3a: Introduction to Pitch Representation

Video 22c: Algorithmic Improvisation: Intro to George Lewis

Video 1a: music21 Coding Tutorial for OCW Learners

Class 14 Video: Corpus Studies and Statistics (II)

Class 17 Video: Introduction to Music Cognition

Class 4 Video: Intro to Scores and Music Representation

Video 0: Overview of 21M.383 Computational Music Theory for OCW Learners

Video 9b: Introduction to MusicXML

Video 9a: Music Information Retrieval (MIR): Sound to Score and Music Theory

Class 1 Video: How Do Computers "Hear" Music?

Class 23 Video: Algorithmic Composition

Video 29a: Feature Extraction and Machine Learning (III): Artificial Intelligence

AI + Open Education Initiative: AI Literacies and Evaluation

Video 9: All There Is to Unlearn - MIT Innovation Teams

Video 3: Technology Isn’t What You Think It Is - MIT Innovation Teams

Introduction: How to Move Technologies from Lab to Impact - MIT Innovation Teams

Video 2: All Great Ideas Start Out Bad - MIT Innovation Teams

Video 6: Don’t Start Small, Start With What You Have - MIT Innovation Teams

07. EdTech Before the Internet

09. Massive Open Online Courses (MOOCs)

10. Intelligent Tutors

14. Learning Games

16. Start-Up and the Curse of the Familiar

20. The Toxic Power of Data and Experiment

12. Interest-Driven Learning

03. How People Learn: Situated Learning

02. How People Learn: Cognitive Load Theory

18. Trap of Routine Assessment