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Artificial Intelligence

Electrical Engineering and Computer Science · Patrick H. Winston · Fall 2010 · Undergraduate

This course is published by MIT OpenCourseWare. Below are the lectures we have indexed, in the order they were taught. For problem sets, notes and exams, visit the original course page.

1. Lecture 1: Introduction and Scope
2. Lecture 2: Reasoning: Goal Trees and Problem Solving
3. Lecture 3: Reasoning: Goal Trees and Rule-Based Expert Systems
4. Lecture 4: Search: Depth-First, Hill Climbing, Beam
5. Lecture 5: Search: Optimal, Branch and Bound, A*
6. Lecture 6: Search: Games, Minimax, and Alpha-Beta
7. Lecture 7: Constraints: Interpreting Line Drawings
8. Lecture 8: Constraints: Search, Domain Reduction
9. Lecture 9: Constraints: Visual Object Recognition
10. Lecture 10: Introduction to Learning, Nearest Neighbors
11. Lecture 11: Learning: Identification Trees, Disorder

Computer Science

Lecture 1: Introduction and Scope

Artificial Intelligence · Patrick H. Winston

Computer Science

Lecture 2: Reasoning: Goal Trees and Problem Solving

Artificial Intelligence · Patrick H. Winston

Computer Science

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

Artificial Intelligence · Patrick H. Winston

Computer Science

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

Artificial Intelligence · Patrick H. Winston

Computer Science

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

Artificial Intelligence · Patrick H. Winston

Computer Science

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

Artificial Intelligence · Patrick H. Winston