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A free and open online publication of educational material from thousands of MIT courses, covering the entire MIT curriculum, ranging from introductory to the most advanced graduate courses. On the OCW website, each course includes a syllabus, instructional material like notes and reading lists, and learning activities like assignments and solutions. Some courses also have videos, online textbooks, and faculty insights on teaching. Knowledge is your reward. There's no signup or enrollment, and no start or end dates. OCW is self-paced learning at its best. Whether you’re a student, a teacher, or simply a curious person that wants to learn, MIT OpenCourseWare (OCW) offers a wealth of insight, inspiration, videos, and a whole lot more! Get the full picture on the OCW website at https://ocw.mit.edu. Accessibility: https://accessibility.mit.edu/ User comments policy: https://ocw.mit.edu/comments/ (Channel banner photo by Nietnagel on Flickr: https://flic.kr/p/8WXxfK.)
Episodes


12. Maxwell's Equation, Electromagnetic Waves

Seminar 3: Jessica Sommerville - Infants' Sensitivity to Cost and Benefit

Seminar 4.1: Eero Simoncelli: Probing Sensory Representations

Lecture 3.4: Laura Schulz - Childrens' Sensitivity to Cost and Value of Information

Lecture 3.5: Josh Tenenbaum - The Child as Scientist

Lecture 1.6: Matt Wilson - Hippocampus, Memory, & Sleep Part 1

Tutorial 3.3: Lorenzo Rosasco - Machine Learning Part 3

Seminar 9: Surya Ganguli - Statistical Physics of Deep Learning

Lecture 3.3: Alia Martin - Developing an Understanding of Communication

Lecture 6.3: Rebecca Saxe - MVPA: Window on the Mind via fMRI Part 1

Lecture 4.1: Shimon Ullman - Development of Visual Concepts

Tutorial 3.2: Lorenzo Rosasco - Machine Learning Part 2

Tutorial 3.1: Lorenzo Rosasco - Machine Learning Part 1

Lecture 4.2: Shimon Ullman - Atoms of Recognition

Seminar 4.2: Anmon Shashua - Applications of Vision

Lecture 7.3: Nancy Kanwisher - Human Auditory Cortex

Seminar 1: Larry Abbott - Mind in the Fly Brain

Lecture 9.2: Haim Sompolinksy - Sensory Representations in Deep Networks

Lecture 2.1: Josh Tenenbaum - Computational Cognitive Science Part 1
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