control algorithms

The opening lecture of Steve Brunton's Control Bootcamp, covering the kinds of control and why closed-loop feedback matters. It starts a series that follows the control chapter of the Brunton and Kutz data-driven science book.

A lecture from MIT's Missing Semester course covering version control with git. It builds up git from its data model rather than from commands.

A special lecture from MIT's Private Pilot Ground School in which Lt. Col. Randy Gordon, a fighter and test pilot, describes F-22 flight controls. Topics include thrust vectoring, the pilot command system and how software handles failures.

An American Airlines training video by Captain Warren VanderBurgh on control malfunctions and flight instrument anomalies. It discusses real incidents such as runaway trim and instrument failures and how crews should respond.

A lecture by Noam Chomsky on thought control in democratic societies, covering propaganda and manufacturing consent. The upload has no description.

Utah State plant scientist Bruce Bugbee presents his analysis of the energy and environmental costs of vertical and indoor farming. He argues artificial lighting cannot compete with sunlight in fields or greenhouses.

A 1983 Los Angeles lecture by KGB defector Yuri Bezmenov on how the Soviets carried out ideological subversion of target societies through propaganda. He walks through demoralization and normalization stages.

A Berkeley Lab Distinguished Lecturer talk on building science, with an expert covering control layers, insulation and vapour barrier placement, and how buildings fail. The delivery is humorous.

Dr. Bruce Bugbee walks through the calculations for crop yield potential when light is the limiting factor, from photosynthetic quantum yield through respiration efficiency and harvest index, using the Energy Cascade Model.

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

Casey Muratori's lecture, originally given at the Technical University of Madrid, arguing that Conway's Law is the only viable candidate for a true law of software architecture. He explains how software mimics the organization over time, using examples like Windows' multiple volume controls.

The first lecture of David MacKay's Cambridge course on information theory, pattern recognition and neural networks. It introduces the core ideas of his book Information Theory, Inference, and Learning Algorithms.