ECE 469: Artificial Intelligence

• Instructor Info
• Textbook
• Grading
• Assignments
• Schedule

Instructor Info

Instructor: Carl Sable
e-mail: CarlSable.Cooper@gmail.com
Office: Room 461
Office Hours: Monday - Thursday, 11:00 AM - 12:00 noon

Textbook

Grading

Assignments

• Homework #1
  Due in class, Monday, October 8
• 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
• Homework #2
  Due in class, Monday, November 19
• 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)
• Homework #3
  Due in my office, Monday, December 17

Schedule

• Tuesday, September 4
  Topic: Introduction
  Suggested Reading: R&N Ch 1 and Computing Machinery and Intelligence (Turing, 1950)
• Wednesday, September 6
  Topic: Intelligent Agents
  Suggested Reading: R&N Ch 2
• Monday, September 10
  Topic: Uninformed Search
  Suggested Reading: R&N Ch 3
• Wednesday, September 12
  Uninformed Search (continued)
• Monday, September 17
  Topic: Informed Search
  Suggested Reading: R&N Ch 4
• Wednesday, September 19
  Informed Search (continued)
• Monday, September 24
  Topic: Games
  Suggested Reading: R&N Ch 6
• Wednesday, September 26
  Games (continued)
• Monday, October 1
  Games (continued)
• Wednesday, October 3
  Games (continued)
• Monday, October 8
  Project #1 is assigned and discussed
• Wednesday, October 10
  Topic: Proabibility
  Suggested Reading: R&N Ch 13
• Monday, October 15
  Probability (continued)
• Wednesday, October 17
  Probability (continued)
• Monday, October 22
  Topic: Bayesian Networks
  Suggested Reading: R&N Ch 14
• Wednesday, October 24
  Bayesian Networks (continued)
• Monday, October 29
  Topic: Decision Trees
  Suggested Reading: R&N Ch 18
• Wednesday, October 31
  Decision Trees (continued)
• Monday, November 5
  Topic: Bayesian Laerning
  Suggested Reading: R&N Ch 20.1 - 20.3
• Wednesday, November 7
  Bayesian Learning (continued)
• Monday, October 12
  Topic: Neural Networks
  Suggested Reading: R&N Ch 20.5
• Wednesday, October 14
  Neural Networks (continued)
• Monday, November 19
  Project #2 is assigned and discussed
• Wednesday, November 21
  Topic: Miscellaneous Learning
• Monday, November 26
  Topic: Natural Languages
  Suggested Reading: R&N Ch 22
• Wednesday, November 28
  Natural Languages (continued)
• Monday, December 3
  Topic: Statistical Natural Language Processing
  Suggested Reading: R&N Ch 23
• Wednesday, December 5
  Topic: Statistical Natural Language Processing (continued)
• Monday, December 10
  Topic: Philosophy and AI
  Suggested Reading: R&N: Ch 26
• Wednesday, December 12
  Topic: Philosophy and AI (continued)