course

A motorcycle safety video on the SMIDSY (sorry mate, I didn't see you) accident, explaining the perception and optical illusion that makes drivers fail to see riders, and how riders can spot the signs and avoid it.

First lecture of MIT 6.00, an introductory computer science course taught in Python by Eric Grimson and John Guttag. It covers the goals of the course, what computation is, and data types, operators and variables.

The first lecture of Andrew Ng's Stanford CS229 Machine Learning course, giving an overview of the course. It introduces supervised and unsupervised learning, learning theory and reinforcement learning.

The first lecture of Gilbert Strang's MIT 18.06 Linear Algebra course, covering the geometry of linear equations. It opens a full 35-lecture university course.

Lecture 7A of the 1986 MIT 6.001 SICP course, with Gerald Sussman presenting the metacircular evaluator, part 1. It shows how a Lisp evaluator can be written in Lisp itself.

The first lecture of MIT's 1986 6.001 Structure and Interpretation of Computer Programs, given by Harold Abelson, introducing Lisp and the idea of computer science as the study of process.

Lecture 1B of MIT's 6.001 Structure and Interpretation of Computer Programs (1986) with Gerald Sussman, covering procedures, processes and the substitution model. It includes the line about the power of naming things.

The first episode of Michael Sandel's Harvard course on moral reasoning, opening with the trolley problem and the choice between killing one to save five. Sandel draws out student arguments and introduces utilitarian and other approaches to justice.

The first lecture of Stanford's CS107 Programming Paradigms, taught by Jerry Cain, giving an overview of the course. The course goes from C and assembly through C++, concurrency, Scheme and Python.

The introductory lecture of Stephen Boyd's Stanford Convex Optimization I course (EE 364A). It outlines convex sets, functions and problems, and the course's coverage of least-squares, linear and semidefinite programming, duality and interior-point methods.

First lecture of Stanford's CS106A Programming Methodology by Mehran Sahami, giving a course overview and starting on programming. The course teaches software engineering principles using Java.

Stanford professor Robert Sapolsky lectures on depression as a real biological disease. He covers its biological and psychological causes, how it differs from ordinary sadness, and ideas such as learned helplessness. He ties these together into one account.

Randy Pausch's 2007 last lecture at Carnegie Mellon, given as he was dying of pancreatic cancer. He reflects on achieving childhood dreams, overcoming obstacles and helping others reach theirs.

Part 1 of a lecture by physicist Albert Bartlett on the exponential function and its consequences for population growth, resource use and energy. It argues that steady growth rates quickly lead to enormous quantities.

Harvard physicist Eric Mazur explains how he realized his students were memorizing rather than understanding, and how he changed his teaching. He presents peer instruction and data showing improved student performance.

Elizabeth Warren's 2007 Berkeley lecture, when she was a Harvard law professor, on why middle-class families are under growing financial strain. She draws on bankruptcy research to examine rising costs of housing, health care and education.

Douglas Hofstadter's Stanford Presidential Lecture argues that analogy is the core of cognition, illustrating how concepts, categorization and thought arise from analogy-making.

Carnegie Mellon professor Randy Pausch gives a lecture on time management at the University of Virginia in 2007. He covers practical habits such as tackling important tasks first and distinguishing important from urgent work.

Ian Piumarta's 2007 Stanford EE380 lecture on building a dynamic programming environment from the ground up, from the Viewpoints Research Institute's work. It covers the design of a language and system with a recursive design, parsing through code generation, and the COLA architecture.

An excerpt from Hal Abelson's opening SICP lecture introducing computer science and contrasting declarative and imperative knowledge. He argues that computer science is not really a science and is more like magic or engineering of ideas.

The first lecture of Leonard Susskind's Stanford Continuing Studies course on modern physics, beginning with classical mechanics. It is the start of a six-quarter sequence on the theoretical foundations of physics.

An AP clip from October 2008 of John McCain correcting a town hall questioner who called Barack Obama an Arab, telling her Obama is a decent family man. It is a brief campaign trail moment.

A PBS clip in which Richard Feynman explains the strange nature of light and electromagnetic radiation. He conveys how little of it we actually see and how radio waves are present everywhere.

A clip from the 1983 BBC series Fun to Imagine in which Richard Feynman explains heat as the jiggling of atoms and how we perceive it as hot and cold.

A short clip of Richard Feynman answering an interviewer's question about how magnets work, in which he explains why a why-question has no simple answer without a shared frame of reference.

A segment from Carl Sagan's original Cosmos explaining the fourth spatial dimension through analogy with a two-dimensional world and shadow projection.

Richard Feynman, in a clip from the BBC series Fun to Imagine, takes on the puzzle of why mirrors seem to swap left and right but not top and bottom.

Part one of a four-part upload of a BBC Horizon documentary featuring Richard Feynman, in which he talks about physics and looking at the world from another point of view.

A clip from the BBC Fun to Imagine series in which Richard Feynman is asked how magnets work and explains why 'why' questions depend on a shared framework of understanding and cannot always be answered in layman's terms.

A one-minute clip from Richard Feynman's 1979 Auckland lecture in which he answers whether you see an object or only its light. It is a short, playful take on perception and on the use of philosophy.

A short excerpt from a BBC interview in which Richard Feynman explains why he dislikes honors and prizes, including his own Nobel, saying the real reward is the pleasure of finding things out.

A short clip of a frog levitating inside a roughly 10 tesla magnetic coil, demonstrating diamagnetism.

A short clip of Richard Feynman explaining how a train stays on its tracks, through the conical shape of wheels and how it handles curves without differentials.

A short clip from the 1983 BBC series Fun to Imagine in which Richard Feynman explains how a train stays on the track. He covers the geometry of tapered wheels that steer the train back toward the center of the rails.

A short clip of the Mythbusters demonstrating superheated water in a microwave, which can erupt violently when disturbed.

A two-minute 1981 interview clip in which Richard Feynman answers an artist friend who claims science takes the beauty out of a flower. Feynman argues that understanding adds to beauty and mystery.

Jon Stewart appears as a guest on CNN's Crossfire in 2004 and criticizes hosts Tucker Carlson and Paul Begala for turning political debate into partisan theater that hurts America.

A Little Britain sketch featuring the 'Computer says no' catchphrase, in which a clerk refuses requests by deferring to her computer.