problem solving

Richard Hamming's 1995 recording of his talk 'You and Your Research', drawn from his graduate engineering course. He discusses how great scientists pick important problems and build careers, drawing on his years at Bell Labs.

Database pioneer Michael Stonebraker argues that 'big data' is really at least four different problems: big volumes with small analytics, big analytics, velocity, and variety. He comments on where each market is heading.

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 final lecture of Richard Hamming's Learning to Learn course, from 1995, based on his well-known talk 'You and Your Research'. It covers how to do important work and build a career.

Alan Kay's Stanford Startup School lecture covers his career at Xerox PARC and how to think about inventing the future. He goes through what came out of PARC and why companies fail to capitalize on such ideas.

The introductory lecture of Richard Hamming's capstone course, The Art of Doing Science and Engineering: Learning to Learn. It focuses on style of thinking and on educating rather than training, using technical material only as illustration.

Erik Demaine's MIT 6.006 lecture introducing dynamic programming through Fibonacci numbers and shortest paths. It covers memoization, subproblems and optimal substructure.

Segment co-founder and CEO Peter Reinhardt recounts how his company found product-market fit, including how a product grew out of a small feature of another. It is a lecture from Stanford's Startup School course.

Y Combinator CEO Michael Seibel lectures at Startup School on building a product people want: identifying the problem, the customer, an MVP and which customers to pursue first.