Ideas, Learning & Language
University lectures & courses
University lectures & courses sits within Ideas, Learning & Language. Compare ways of explaining, questioning, and communicating ideas across different subjects and traditions. This selection contains 127 catalog videos from 81 distinct channels. The examples below offer specific entry points into the subject, with their own vocabulary and scope, rather than a prescribed sequence of lessons.
Recurring catalog topics include stanford, scheme, mit, sicp, deep learning and energy. These tags describe overlapping directions within the collection; an individual video may connect several of them. Recorded formats include course, lecture and talk. Use those differences to choose between approaches to the subject and to compare how different contributors frame related questions.
“How to Speak”, listed under MIT OpenCourseWare, is cataloged as lecture. Patrick Winston's long-running MIT lecture on public speaking teaches heuristic rules for talks. It covers how to start, use time and place, boards, props and slides, and how to inform, persuade and…
“1. Introduction to Human Behavioral Biology”, listed under Stanford, is cataloged as lecture. The opening lecture of Robert Sapolsky's Stanford course on Human Behavioral Biology, explaining the course premise and how to avoid categorical thinking. It starts a roughly 25-lecture series on how biology, genes,…
127 videos
Lecture
Justice: What's The Right Thing To Do? Episode 01 "THE MORAL SIDE OF MURDER"Harvard University
Lecture
The Coming Collapse of the Middle Class with Elizabeth WarrenUniversity of California Television (UCTV)
Lecture
Richard Feynman - The.Character of Physical Law - Part 1 The Law of Gravitation (full version)Tinkerin' Thinkers
Lecture
01 - Course Introduction & Relational Model (CMU Databases Systems / Fall 2019)CMU Database Group
Lecture
Jack Szostak (Harvard/HHMI) Part 1: The Origin of Cellular Life on EarthScience Communication Lab
Lecture
Jancovici : Can we save energy, jobs and growth at the same time ? 08/01/2018Jean-Marc Jancovici
Lecture
31 Hamming, Learning to Learn: You and Your Research, 6 June 1995Hamming on Hamming: Learning to Learn
Lecture
Entanglement and Complexity: Gravity and Quantum MechanicsStanford Institute for Theoretical Physics
Course
Lec 1 | MIT 6.00 Introduction to Computer Science and Programming, Fall 2008MIT OpenCourseWare
Lecture
Lecture 1 | Natural Language Processing with Deep LearningStanford University School of Engineering
Lecture
Efficient Bayesian inference with Hamiltonian Monte Carlo -- Michael Betancourt (Part 1)MLSS Iceland 2014
Lecture
Lecture 7: Introduction to Galois Fields for the AES by Christof PaarIntroduction to Cryptography by Christof Paar
Lecture
Donald B. Gillies Lecture: Dr. Michael StonebrakerSiebel School of Computing and Data Science
Lecture
Lecture by Douglas Hofstadter: Albert Einstein on Light; Light on Albert EinsteinUppsala universitet
Lecture
Dr. Robert Sapolsky's lecture about Biological Underpinnings of ReligiosityAprendiendo Juntos
Lecture
Lecture 1 | Introduction to Convolutional Neural Networks for Visual RecognitionStanford University School of Engineering
Lecture
1 - L'énergie - Cours des Mines 2019 - Jancovici - [EN subtitles available]Jean-Marc Jancovici




























































































































