MIT OpenCourseWare: Free Courses from the institute

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 the lecture Ian Ball explains a more complicated example of signaling, which is a type of dynamic Bayesian 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/
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62EaLLH92E_VCN4izBKK6OE

Description: To differentiate eigenvectors and eigenvalues, we first consider derivatives with constraints, such derivatives on a circle or derivatives involving unitary matrices.

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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

The relation between reactions and cross-section and discussion of a classical model.

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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 describes zero-sum games, which are games that feature a complete conflict of interest. One player's loss equals another player's gain. Examples includes games like checkers or chess.

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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

A discussion of particle interactions with matter. 

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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 the arithmetization of Boolean formulas. Finished the theorem: #SAT is in IP and concluded that coNP is a subset of IP.

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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 continues explaining the Bayesian Nash Equilibrium, and includes applications such as the Cournot competition and auctions.

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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

A brief introduction to the importance of symmetries and Noether's theorem.

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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

Ian Ball begins this lecture by reviewing revenue equivalence and then transitions to talking about keyword search auctions, like Google ads.

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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/
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62EaLLH92E_VCN4izBKK6OE

Description: Matrix-function derivatives are linear operators on matrices, but they can often be turned into “ordinary” Jacobian matrices using Kronecker products.

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We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.



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