AIMA Lecture Slides (pdf format, 6 slides per page)
plus other supplementary presentation materials
Chapter 1: Introduction
Chapter 2: Intelligent Agents
Chapter 3: Solving Problems by Searching
Chapter 4: Informed Search and Exploration, also:
Genetic Algorithms and Genetic Programming
Chapter 5: Constraint Satisfaction Problems
Chapter 6: Adversarial Search
Chapter 7: Logical Agents
Chapter 8: First-Order Logic
Chapter 9: Inference In First-Order Logic
Chapter 11: Planning
Chapter 12: Planning and Acting in the Real World
Chapter 13: Uncertainty
Chapter 14: Probabilistic Reasoning
Chapter 14: Probabilistic Reasoning (continued)
Chapter 18: Learning from Observations, also (from Mitchell):
Intro to Machine Learning,
Decision Trees 1,
Decision Trees 2
Chapter 20: Statistical Learning Methods, also (from Mitchell):
Neural Nets 1,
Neural Nets 2
Reinforcement Learning and Markov Decision Processes