CS 3600
Introduction to Artificial Intelligence

Fall 2015

Meets: Mondays, Wednesdays, Fridays 11:05-11:55pm in Architecture (East) 123

Instructor: Prof. Mark Riedl (riedl@cc.gatech.edu)
Office hours: Tuesdays: 2:30-4:30pm, TSRB 228

Home Schedule Projects Grading Resources Piazza

Projects

  1. Project 0: Introduction to Python (0% of grade) [No due date]
  2. Project 1: Search (10% of grade) [Due Sunday September 20, 2015, 11:55pm]
  3. Project 2: Constraint Satisfaction Problems (10% of grade) [Due Sunday October 18, 2015, 11:55pm]
  4. Project 3: Dynamic Bayesian Networks (10% of grade) [Due Sunday November 15, 11:55pm]
  5. Project 4: Neural network (10% of grade) [Due Friday December 4, 11:55pm]

Codebases for each project can be downloaded from T-square.

Homework exercises

  1. Missionaries and cannibals (problem | solution)
  2. Search (problem | solution)
  3. Search 2 (problem | solution)
  4. Minimax (problem | solution)
  5. Constraint satisfaction (problem | solution)
  6. Game of Set (problem | solution)
  7. Bayes net inference (problem | solution)
  8. Bayes net inference 2 (problem | solution)
  9. Markov decision process (problem | solution)
  10. MDP Vvalue iteration problem from class (problem | solution)
  11. Decision tree learning (problem | solution)