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 my annoated version of Figure 18.24
  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, January 18
  Topic: Introduction
  Suggested Reading: R&N Ch 1 and Computing Machinery and Intelligence (Turing, 1950)
• Thursday, January 19
  Topic: Intelligent Agents
  Suggested Reading: R&N Ch 2
• Wednesday, January 25
  Topic: Simple Search Strategies
  Suggested Reading: R&N Sections 3.1 - 3.4 and 4.4.1
• Thursday, January 26
  Simple Search Strategies (continued)
• Wednesday, February 1
  Topic: Advanced Search Strategies
  Suggested Reading: R&N Sections 3.5 - 3.6, 4.1 - 4.2, and 4.5
• Thursday, February 2
  Advanced Search Strategies (continued)
• Wednesday, February 8
  Topic: Games
  Suggested Reading: R&N Chapter 5
• Thursday, February 9
  Games (continued)
• Wednesday, February 15
  NO CLASS (officially Friday schedule)
• Thursday, Februray 16
  Games (continued)
• Wednesday, February 22
  Games (continued)
• Thursday, February 23
  Project #1 assigned and discussed
• Wednesday, February 29
  Topic: Probability
  Suggested Reading: R&N Chapter 13
• Thursday, March 1
  Probability (continued)
• Wednesday, March 7
  Topic: Bayesian Networks
  Suggested Reading: R&N Chapter 14
• Thursday, March 8
  Bayesian Networks (continued)
• Wednesday, March 21
  Topic: Bayesian Learning
  Suggested Reading: R&N Chapter 20
• Thursday, March 22
  Bayesian Learning (continued)
• Wednesday, March 28
  Topic: Decision Trees
  Suggested Reading: R&N Sections 18.1 - 18.3 and 18.10
• Thursday, March 29
  Decision Trees (continued)
  Topic: Neural Networks
  Suggested Reading: R&N Section 18.7
• Wednesday, April 4
  Neural Networks (continued)
• Thursday, April 5
  Topic: Miscellaneous Machine Learning
  Suggested Reading: R&N Sections 15.3, 18.8, 18.9, and 20.3.3
• Wednesday, April 11
  Project #2 assigned and discussed
• Thursday, April 12
  Topic: Natural Languages
  Suggested Reading: R&N Chapter 23
• Wednesday, April 18
  Natural Languages (continued)
• Thursday, April 19
  Topic: Statistical Natural Language Processing
  Suggested Reading: R&N Chapter 22
• Wednesday, April 25
  Statistical Natural Language Processing (continued)
• Thursday, April 26
  Topic: Philosophy and AI
  Suggested Reading: R&N Chapter 26 and Minds, Brains, and Programs (Searle, 1980)
• Wednesday, May 2
  Philosophy and AI (continued)
• Thursday, May 3
  FINAL EXAM
  From 6 pm - 9 pm in Rm. 503