Lecture Videos | Artificial Intelligence | Electrical Engineering and Computer Science | MIT OpenCourseWare

Course Info

Instructor

Patrick Henry Winston

Departments

Electrical Engineering and Computer Science

As Taught In

Fall 2010

Level

Undergraduate

Topics

Engineering

Computer Science

Algorithms and Data Structures

Artificial Intelligence

Theory of Computation

Learning Resource Types

Exams

Lecture Videos

Recitation Videos

Programming Assignments

Instructor Insights

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Lecture Videos

Lecture 1: Introduction and Scope

Lecture 2: Reasoning: Goal Trees and Problem Solving

Lecture 3: Reasoning: Goal Trees and Rule-Based Expert Systems

Lecture 4: Search: Depth-First, Hill Climbing, Beam

Lecture 5: Search: Optimal, Branch and Bound, A*

Lecture 6: Search: Games, Minimax, and Alpha-Beta

Lecture 7: Constraints: Interpreting Line Drawings

Lecture 8: Constraints: Search, Domain Reduction

Lecture 9: Constraints: Visual Object Recognition

Lecture 10: Introduction to Learning, Nearest Neighbors

Lecture 11: Learning: Identification Trees, Disorder

Lecture 12A: Neural Nets

Lecture 12B: Deep Neural Nets

Lecture 13: Learning: Genetic Algorithms

Lecture 14: Learning: Sparse Spaces, Phonology

Lecture 15: Learning: Near Misses, Felicity Conditions

Lecture 16: Learning: Support Vector Machines

Lecture 17: Learning: Boosting

Lecture 18: Representations: Classes, Trajectories, Transitions

Lecture 19: Architectures: GPS, SOAR, Subsumption, Society of Mind

Lecture 21: Probabilistic Inference I

Lecture 22: Probabilistic Inference II

Lecture 23: Model Merging, Cross-Modal Coupling, Course Summary

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