Category: Leslie P. Kaelbling: 6.01 (Introduction to EECS)

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Leslie Kaelbling: 6.01 Lecture 01 — Introduction and State Machines

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Topics include: introduction; content and pedagogy; accumulators; how turnstiles work; python expressions; state machines; some state machine combinators. Recorded 2012.

Leslie Kaelbling: 6.01 Lecture 02 — Signals and Systems

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6.01 Lecture 2 — Signals and Systems: Difference equations, block diagrams, and operator expressions. Recorded 2012.

Leslie Kaelbling: 6.01 Lecture 03 — Predicting System Performance

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6.01 Lecture 03 — Predicting System Performance: System functions, feedback, modes and poles. Recorded 2012.

Leslie Kaelbling: 6.01 Lecture 04 — Designing Control Systems

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6.01 Lecture 04 — Designing Control Systems: Using predicted behavior to design systems with desired properties. Recorded 2012.

Leslie Kaelbling: 6.01 Lecture 05 — Circuit Primitives, Composition and Abstraction

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6.01 Lecture 05 — Circuit Primitives, Composition and Abstraction:  Resistor networks, conservation laws, analysis. Recorded 2012.

Leslie Kaelbling: 6.01 Lecture 06 — Op-Amp Circuits

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6.01 Lecture 06 —Op-Amp Circuits: Introducing modularity. Recorded 2012.

Leslie Kaelbling: 6.01 Lecture 07 — Circuit Abstractions

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6.01 Lecture 07 — Circuit Abstractions: Thevenin and Norton equivalents. Recorded 2012.

Leslie Kaelbling: 6.01 Lecture 08 — Modeling Systems with Uncertainty

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6.01 Lecture 08 — Modeling Systems with Uncertainty: Discrete probability and Bayesian reasoning. Recorded 2012.

Leslie Kaelbling: 6.01 Lecture 09 — Dynamical Systems with Uncertainty

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6.01 Lecture 09 — Dynamical Systems with Uncertainty: Hidden Markov models and state estimation. Recorded 2012.

Leslie Kaelbling: 6.01 Lecture 10 — Deriving Behavior from Models

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6.01 Lecture 10 — Deriving Behavior from Models: Planning as a graph-search problem. Recorded 2012.

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