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215 courses
Learn to make scientific subjects clearer through photography. The videos cover exposure, smartphone techniques, visual presentation and case studies, with additional discussion of generative AI in scientific…
Investigate how sensory signals become perceptual experience. The lectures connect hearing, visual pathways, color, motion and object recognition with experimental approaches to studying perception.
Explore selected periods in China's dynastic history through MIT lectures. The available recordings introduce early political traditions and later Ming and Qing developments rather than documenting every…
Analyze strategic choices when an outcome depends on other decision-makers. The course progresses from individual decisions to competition, bargaining, Bayesian games and equilibrium reasoning.
Connect fluid motion with the movement of sediment. This short lecture sequence examines transport mechanics, bed forms and the sedimentary structures produced by flowing water.
Study how organizations respond when digital technologies disrupt their markets. These selected lectures connect strategy, segmentation, market experiments and communication with the work of implementing business change.
Turn an early business idea into a more testable venture plan. MIT sessions examine business models, team organization, negotiation and the personal decisions involved in starting a…
Examine nuclear power as an energy-policy choice. The lectures compare costs, decarbonization, industrial heat and accident risk, helping you separate technical constraints from public-policy trade-offs.
Explore how computation changes image capture, from enhanced photography and light fields to hyperspectral imaging. These MIT lectures connect optical measurements with algorithms for extracting richer visual…
Understand how consumers, firms and markets respond to incentives. MIT lectures develop supply and demand, production costs, competition, monopoly, factor markets and social-insurance questions.
Build programming confidence with Python while learning core computer-science ideas. MIT lectures cover search, lists, aliasing, recursion, program efficiency and structured approaches to solving computational problems.
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