Log inSign up

Learn from the lecture hall,
not the algorithm.

Great university lectures, organized for independent learners. 88 hand-picked lectures, each with a summary, a still from the class and a direct link to the original recording.

Browse lectures About the project

Start a course

Still from the lecture “Lecture 1: The geometry of linear equations”
Mathematics

Lecture 1: The geometry of linear equations

Linear Algebra · Prof. Gilbert Strang

Still from the lecture “Lecture 1: Rate of Change”
Mathematics

Lecture 1: Rate of Change

Single Variable Calculus · Prof. David Jerison

Still from the lecture “Lecture 1: Introduction and Proofs”
Mathematics

Lecture 1: Introduction and Proofs

Mathematics for Computer Science · Prof. Tom Leighton

Still from the lecture “Lecture 1: Algorithmic Thinking, Peak Finding”
Computer Science

Lecture 1: Algorithmic Thinking, Peak Finding

Introduction to Algorithms · Srini Devadas

Still from the lecture “Lecture 1: What is Computation?”
Computer Science

Lecture 1: What is Computation?

Introduction to Computer Science and Programming in Python · Dr. Ana Bell

Still from the lecture “Lecture 1: Introduction and Scope”
Computer Science

Lecture 1: Introduction and Scope

Artificial Intelligence · Patrick H. Winston

Why lectures?

A full university lecture is slow on purpose. It builds an idea step by step, shows the mistakes along the way and leaves room for questions. Short clips are great for a quick answer; lectures are how you actually learn a subject.

Read more in our journal →

88lectures
8courses
3subjects
0ads or paywalls

Subjects

Mathematics

Calculus, linear algebra and statistics — the language of science and engineering.

33 lectures

Computer Science

Programming, algorithms and artificial intelligence, from first principles.

33 lectures

Natural Sciences

Chemistry and neuroscience: how matter and the mind work.

22 lectures