MIT OpenCourseWare: Free Courses from the institute

MIT 18.404J Theory of Computation, Fall 2020
Instructor: Michael Sipser
View the complete course: https://ocw.mit.edu/18-404JF20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60_JNv2MmK3wkOt9syvfQWY

Uploaded 06-10-21

Quickly reviewed last lecture. Introduced space complexity. Defined SPACE(f(n)), NSPACE(f(n)) , PSPACE, and NPSPACE. Proved that TQBF is in PSPACE; LADDER for DFA is in NSPACE(n); and LADDER for DFA is in SPACE(n^2).

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MIT 14.12 Economic Applications of Game Theory, Fall 2025
Instructor: Ian Ball
View the complete course: https://ocw.mit.edu/courses/14-12-economic-applications-of-game-theory-fall-2025/
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63quuKvMHCt3cmTmt0O2qpv

In this lecture, Ian Ball discusses cheap talk, which is a communication framework between players where messages do not directly affect the payoffs of the game. Providing and receiving information is free.

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MIT 8.701 Introduction to Nuclear and Particle Physics, Fall 2020
Instructor: Markus Klute
View the complete course: https://ocw.mit.edu/8-701F20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60Do91PdN978llIsvjKW0au

Summary of neutrino oscillation results. 

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MIT 14.12 Economic Applications of Game Theory, Fall 2025
Instructor: Ian Ball
View the complete course: https://ocw.mit.edu/courses/14-12-economic-applications-of-game-theory-fall-2025/
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63quuKvMHCt3cmTmt0O2qpv

In this lecture, Ian Ball explains subgame-perfect Nash equilibriums, which is a strategy profile where every player's strategy is optimal not just for the game as a whole, but at every possible decision point (subgame) within the game.


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MIT 18.S096 Matrix Calculus For Machine Learning And Beyond, IAP 2023
Instructors: Alan Edelman, Steven G. Johnson

Uploaded 23-10-23

View the complete course: https://ocw.mit.edu/courses/18-s096-matrix-calculus-for-machine-learning-and-beyond-january-iap-2023/
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Description: Nonlinear root finding by Newton’s method and optimization by gradient descent. “Adjoint” methods (reverse-mode/backpropagation) lets us find gradients efficiently for large-scale engineering optimization.

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MIT 8.701 Introduction to Nuclear and Particle Physics, Fall 2020
Instructor: Markus Klute
View the complete course: https://ocw.mit.edu/8-701F20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60Do91PdN978llIsvjKW0au

In this lecture we unify the weak and electromagnetic interaction.

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MIT 14.12 Economic Applications of Game Theory, Fall 2025
Instructor: Ian Ball
View the complete course: https://ocw.mit.edu/courses/14-12-economic-applications-of-game-theory-fall-2025/
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63quuKvMHCt3cmTmt0O2qpv

This lecture explores how companies compete and decide what prices to charge. Using real-world examples like oil production and cell phone companies, the instructor explains why some markets have one dominant player (like a local monopoly) while others have many competitors.

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MIT 8.701 Introduction to Nuclear and Particle Physics, Fall 2020
Instructor: Markus Klute
View the complete course: https://ocw.mit.edu/8-701F20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60Do91PdN978llIsvjKW0au

Discussion of the early history and people in nuclear and particle physics from the 1820s to 1939.

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MIT 18.404J Theory of Computation, Fall 2020
Instructor: Michael Sipser
View the complete course: https://ocw.mit.edu/18-404JF20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60_JNv2MmK3wkOt9syvfQWY

Uploaded 06-10-21

Quickly reviewed last lecture. Discussed a connection between games and quantifiers. Described the formula game and showed that generalized geography is PSPACE-complete. Introduced log space: L and NL. Defined the configuration graph to prove NL is a subset of P.

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MIT 14.12 Economic Applications of Game Theory, Fall 2025
Instructor: Ian Ball
View the complete course: https://ocw.mit.edu/courses/14-12-economic-applications-of-game-theory-fall-2025/
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63quuKvMHCt3cmTmt0O2qpv
In this lecture, Ian Ball discusses infinitely repeated games, which are scenarios where players engage in the same stage game indefinitely, allowing for cooperation that wouldn't exist in one-shot games.

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