AI Design-a-Course

Topics

MIT AI COURSE, Lecture 2 on search
Python programming
- How to Think Like a Computer Scientist
- Python Tutorial by Guido
- Python Short course, from Caltech, includes PyOpengl and Tkinter
- more listings from python.org
- Sample exercises: part1 and part2 (recursive)
Non-heuristic searches: depth and breadth first
Heuristic searches:
- best first + Lisp code (from Tanimoto),
- A-Star + Lisp code (from Tanimoto),
- another version of AStar lab
Game theory: Minmax trees
More Minmax: alpha-beta pruning
Machine learning: Genetic algorithms
sample genetic algorithm lab (like Goldman's text)
Machine learning, part 2: other techniques
Assignment examples
- U. Wisconsin: Decision tree of car types
  search and game playing, face recognition and neural nets
  probablistic reasoning
- U. Buffalo: Vacuum world and tournament
  find an iterary between destinations in the school
- Duke: Minmax and Tictactoe
- Idaho: Lawn mower and the program
- U Mich, counselor agent program
- NYU, N Queens
- Tufts intro to Markhov models, Markhov model project
- Brown, sliding tiles, chess, blackjack
- Cambridge Virtual U
- Berkeley - Wilensky
- U Va, tile puzzle
- U Wash, Abalone game
- Machine learning course webpages
- U. Cal. Irvine machine learning repository
- Weka project on machine learning