MIT OpenCourseWare

Complete MIT lecture courses, free and open: algorithms, Python, linear algebra, calculus, quantum physics, biology, microeconomics and psychology.

10 series315 lectures2.8 hours3 transcribed

1% transcribed Start with 6.0001 Python

Recently transcribed

Dynamic Programming, Part 2: LCS, LIS, Coins

Dynamic Programming, Part 2: LCS, LIS, Coins

6.006 Introduction to Algorithms Lec 16 · added Oct 19, 2026

Introduction to Superposition

Introduction to Superposition

8.04 Quantum Physics I Lec 1 · added Oct 16, 2026

Session 1, Part 1: Introduction: Most Startups Fail; How to Improve Your Odds

Session 1, Part 1: Introduction: Most Startups Fail; How to Improve Your Odds

Apr 12, 2026 · 1:09:21

Session 6, Part 2: Common Startup Mistakes

Session 6, Part 2: Common Startup Mistakes

Apr 12, 2026 · 1:22:43

Session 6, Part 1: Why Do You Want to Be an Entrepreneur?

Session 6, Part 1: Why Do You Want to Be an Entrepreneur?

Apr 12, 2026 · 1:12:55

Session 4, Part 2: Negotiation Skills

Session 4, Part 2: Negotiation Skills

Apr 12, 2026 · 1:03:57

Session 3, Part 1: Legal Issues

Session 3, Part 1: Legal Issues

Apr 12, 2026 · 1:23:33

Session 2, Part 2: How Are You Going to Make Money?—The Business/Venture Model

Session 2, Part 2: How Are You Going to Make Money?—The Business/Venture Model

Apr 12, 2026 · 1:03:00

Syllabus

6.0001 Introduction to Computer Science and Programming in Python

38 lectures · 0 transcribed · 0 min

Ana Bell's twelve lectures for students with no programming background, plus short clips on each concept. Fall 2016.

6.006 Introduction to Algorithms

32 lectures · 1 transcribed · 59 min

Erik Demaine, Jason Ku and Justin Solomon: data structures, sorting, graphs, dynamic programming and complexity, with problem sessions and quiz reviews. Spring 2020.

6.046J Design and Analysis of Algorithms

34 lectures · 0 transcribed · 0 min

Erik Demaine, Srini Devadas and Nancy Lynch: divide and conquer, randomization, flows, linear programming, NP-completeness, distributed algorithms and cryptography. Spring 2015.

6.034 Artificial Intelligence

30 lectures · 0 transcribed · 0 min

Patrick Winston's classic course: search, constraints, learning, neural nets, support vector machines and probabilistic inference, with the Mega-Recitations. Fall 2010.

18.01 Single Variable Calculus

35 lectures · 0 transcribed · 0 min

David Jerison: differentiation, integration, techniques of integration and series. Fall 2006.

18.06 Linear Algebra

36 lectures · 0 transcribed · 0 min

Gilbert Strang's course, the most-watched on the channel: elimination, the four subspaces, projections, determinants, eigenvalues and the SVD. Spring 2005.

8.04 Quantum Physics I

25 lectures · 1 transcribed · 1.3 hours

Allan Adams: superposition, the wave function, the Schrödinger equation, the harmonic oscillator, scattering, angular momentum, hydrogen and entanglement. Spring 2013.

7.012 Introduction to Biology

35 lectures · 0 transcribed · 0 min

Eric Lander and Robert Weinberg: biochemistry, genetics, molecular biology, recombinant DNA, cancer, immunology and stem cells. Fall 2004.

14.01 Principles of Microeconomics

26 lectures · 1 transcribed · 35 min

Jonathan Gruber: supply and demand, consumer and producer theory, competition, monopoly, input markets, trade, uncertainty and market failures. Fall 2018.

9.00SC Introduction to Psychology

24 lectures · 0 transcribed · 0 min

John Gabrieli: the brain, perception, attention, memory, language, intelligence, emotion, personality, development, stress, psychopathology and social psychology. Fall 2011.