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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 21: Integrals and Derivatives under Uniform Convergence

Lecture 4: State Machines

Lecture 3: Casework and Strong Induction

Lecture 11: Graphs and Coloring

Lecture 1: Predicates, Sets, and Proofs

Lecture 13: Connectivity and Trees

Lecture 2: Contradiction and Induction

Lecture 24: Large Deviations: Chebyshev and Chernov Bound, Wrap Up

Lecture 15: Relations and Counting

Lecture 17: More Counting Techniques

Lecture 10: Cryptography

Lecture 5: Sums

Lecture 8: Divisibility

Lecture 18: Probability

Lecture 22: Expectation

Lecture 21: Random Variables

Lecture 14: Digraphs and DAGs

Lecture 23: Expectation and Variance

Lecture 12: Matching
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