Stnf CS 121
Introduction to Artificial Intelligence
Summer 2006


Handouts

This page has links to all course materials provided by the staff...
Lecture Slides
Lecture Slides by Topic (for Final)

  • Intro to AI, Intro to Search
  • (PDF) 2PP 4PP
  • Cost-based Search, Heuristic Search
  • (PDF) 2PP 4PP
  • Adversarial Search, Local Search
  • (PDF) 2PP 4PP
  • Constraint Satisfaction Problems
  • (PDF) 2PP 4PP
  • Probability Theory
  • (PDF) 2PP 4PP
  • Graphical Models, Bayesian Networks
  • (PDF) 2PP 4PP
  • Intro to Classification, Perceptron Classifier
  • (PDF) 2PP 4PP
  • Naive Bayes Classifier
  • (PDF) 2PP 4PP
  • MMs, HMMs, Filtering, Viterbi
  • (PDF) 2PP 4PP
  • MDPs, Reinforcement Learning, Q-Learning
  • (PDF) 2PP 4PP
  • Propositional Logic, First-Order Logic
  • (PDF) 2PP 4PP
  • Logical Inference
  • (PDF) 2PP 4PP
  • Natural Language Processing
  • (PDF) 2PP 4PP
  • Robotics
  • (PDF) 2PP 4PP

    Section Slides
    Assignments and Solutions
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