ECE 469: Artificial Intelligence

• Instructor Info
• Textbook
• Grading
• Projects
• Schedule

Instructor Info

Instructor: Carl Sable
e-mail: CarlSable.Cooper@gmail.com
Office: Room 614

Textbook

Grading

Projects

• Project #1
  Click here for a suggested schedule and other helpful information
  Click here for a readme file briefly describing the files provided below
  Click here to download my Checkers executable (compiled under Cygwin)
  Click here to download my Othello executable (compiled under cygwin)
  Click here for cygwin1.dll (if you need it; see the readme)
  Click here to download my Checkers executable (compiled under Ubuntu)
  Click here to download my Othello executable (compiled under Ubuntu)
  Sample Checkers board #1
  Sample Checkers board #2
  Sample Checkers board #3
  Sample Checkers board #4
  Sample Checkers board #5
  Sample Checkers board #6
  Sample Checkers board #7
  Sample Checkers board #8
  Sample Checkers board #9
  Sample Checkers board #10
  Sample Othello board #1
  Sample Othello board #2
• Project #2
  Click here for the raw data of the Wisconsin Diagnostic Breast Cancer (WDBC) dataset
  Click here for a description of the data set by its creators
  Click here for my pre-processed WDBC training set file
  Click here for my pre-processed WDBC test set file
  Click here for my initial neural network for the WDBC dataset
  Click here for my trained neural network for the WDBC dataset
  (with a learning rate of 0.1 after 100 epochs)
  Click here for my results file (using the above trained neural network)
  Click here for my grades training file
  Click here for my grades test file
  Click here for my inital neural network for the grades dataset
  Click here for my trained neural network for the grades dataset
  (with a learning rate of 0.05 after 100 epochs)
  Click here for my results file (using the above trained neural network)

Schedule

• Wednesday, September 9
  Topic: Introduction
  Suggested Reading: R&N Ch 1 and Computing Machinery and Intelligence (Turing, 1950)
• Monday, September 14
  Topic: Intelligent Agents
  Suggested Reading: R&N Ch 2
• Wednesday, September 16
  Topic: Uninformed Search
  Suggested Reading: R&N Ch 3
• Wednesday, September 21
  Uninformed Search (continued)
• Wednesday, September 23
  Topic: Informed Search
  Suggested Reading: R&N Ch 4
• Monday, September 28
  Informed Search (continued)
• Wednesday, September 30
  Topic: Games
  Suggested Reading: R&N Ch 6
• Monday, October 5
  Games (continued)
  Click here for my version of Fig 6.5 (an alpha-beta tree with values)
  Click here for my own alpha beta tree (hand written example)
• Wednesday, October 7
  Games (continued)
• Monday, October 12
  Topic: Probability
  Suggested Reading: R&N Ch 13
• Wednesday, October 14
  Project #1 assigned and discussed
• Monday, October 19
  Quiz #1
• Wednesday, October 21
  Probability (continued)
• Monday, October 26
  Topic: Bayesian Networks
  Suggested Reading: R&N Ch 14
• Wednesday, October 28
  Topic: Bayesian Learning
  Suggested Reading: R&N Ch 13
• Monday, November 2
  Bayesian Learning (continued)
• Wednesday, November 4
  Topic: Decision Trees
  Suggested Reading: R&N Ch 18
• Monday, November 9
  Decision Trees (continued)
• Wednesday, November 11
  Topic: Neural Networks
  Suggested Reading: R&N Sec 20.5
  Click here for my version of Fig 20.25 (the corrected back propagation pseudo code)
• Monday, November 16
  Neural Networks (continued)
• Wednesday, November 18
  Neural Networks (continued)
• Monday, November 23
  Project #2 assigned and discussed
• Wednesday, November 25
  Topic: Miscellaneous Machine Learning
  Suggested Reading: R&N Sec. 15.1-15.3, 20.4, 20.6
• Monday, November 30
  Quiz #2
• Wednesday, December 2
  Topic: Natural Languages
  Suggested Reading: R&N Ch. 22
• Monday, December 7
  Natural Languages (continued)
• Wednesday, December 9
  Topic: Statistical Natural Language Processing
  Suggeted Reading: R&N Ch. 23
• Monday, December 14
  Philosophy and AI
  Suggested Reading: R&N Ch. 26 and Minds, Brains, and Programs (Searle, 1980)
• Wednesday, December 16
  Philosophy and AI (continued)
• Monday, December 21
  Quiz #3