
MIT OpenCourseWare
A free and open online publication of educational material from thousands of MIT courses, covering the entire MIT curriculum, ranging from introductory to the most advanced graduate courses. On the OCW website, each course includes a syllabus, instructional material like notes and reading lists, and learning activities like assignments and solutions. Some courses also have videos, online textbooks, and faculty insights on teaching. Knowledge is your reward. There's no signup or enrollment, and no start or end dates. OCW is self-paced learning at its best. Whether you’re a student, a teacher, or simply a curious person that wants to learn, MIT OpenCourseWare (OCW) offers a wealth of insight, inspiration, videos, and a whole lot more! Get the full picture on the OCW website at https://ocw.mit.edu. Accessibility: https://accessibility.mit.edu/ User comments policy: https://ocw.mit.edu/comments/ (Channel banner photo by Nietnagel on Flickr: https://flic.kr/p/8WXxfK.)
Episodes


Lecture 8: Norms of Vectors and Matrices

6. Singular Value Decomposition (SVD)

5. Positive Definite and Semidefinite Matrices

4. Eigenvalues and Eigenvectors

3. Orthonormal Columns in Q Give Q'Q = I

Lecture 2: Multiplying and Factoring Matrices

Lecture 1: The Column Space of A Contains All Vectors Ax

Course Introduction of 18.065 by Professor Strang

34. Electronic Spectroscopy and Photochemistry

24. Baumol's Disease

22. Public Transportation Systems

21. Fare Policy, Structure, and Technology

20. Transit Service Reliability

19. Transit Signal Priority

17. Customer Information Strategies

13. Vehicle Scheduling

10. Origin, Destination, and Transfer Inference

9. Performance Models

8. Ridership Forecasting
Follow this podcast in Podwise
Sign in to get AI summaries, transcripts and mind maps for any episode, including new ones.
