Course Description - CS540

Fall 1999

Please take time to review this course

The review form should be available from about noon on Monday, 20 December until noon, 24 December.

Instructor: Dean Allemang

Office Hours: Fridays, 10:00-11:00, MCS 266
email: allemang@cs.bu.edu

Teaching Assistant: Rob Pitts

Office Hours: Tuesdays 2:30-3:30, Thursday 2:15-3:00 in MCS 266

Time and Place:

M W F 9:00 am, room CAS 313
Midterm Exam on Friday, October 22, 1999.
Final Exam on Monday, December 20, 1999.

Syllabus

Textbook:

Artificial Intelligence, Theory and Practice, by Dean, Allen and Aloimonos (Addison Wesley, 1995) is required. I may occasionally hand out notes on specific topics, such as knowledge acquisition and expert systems which are not covered in depth in the text.

Supplementary texts:

General AI texts:
Artificial Intelligence, by Elaine Rich and Kevin Knight  (McGraw-Hill, 1991)
Artificial Intelligence: A modern Approach, by Russell and Norvig (Prentice Hall, 1995)

For Learning LISP:
The ANSI Common Lisp, by Paul Graham (Prentice Hall, 1996)

Philosophy of AI:
Abductive Inference: computation, philosophy, technology, by John Josephson and Susan Josephson (Cambridge University Press, 1994)
Computer Power and Human Reason : From Judgement to Calculation, by Joseph Weizenbaum (W H Freeman & Co, 1976)

Homework Assignments

All assignments are due at 5:00 p.m. on the day indicated.

 Assignment One (due 13 September, 1999)

 Assignment Two (due 27 September, 1999)

 Error in Assignment 2! Please read!

 Example file for Assignment 2.

 Assignment Three (due 6 October, 1999)

 Assignment Three data

 Alternatve Assignment Three (due 8 October, 1999)

  Assignment Four (checkers) (due 25 October, 1999)

  Assignment Four (Go) (due 25 October, 1999)

  Assignment Five (due 10 November, 1999) Link to Repetory Grid software

  Assignment Six (due 24 November, 1999)

  Assignment Seven (due 13 December, 1999)

Lectures and Notes

Lecture 1 (pdf)

Lecture 2 (plain text)

Lecture 3 (plain text)

Lecture 4 (plain text)

Lecture 5 (pdf)

Lecture 6 (part 1)(pdf)

Lecture 6 (part2) (pdf)

Lecture 6 (part3) (plain text)

Lecture (PAC learning, courtesy of Bob Aiken, Temple University (pdf)

Lecture 7 (pdf)

Lecture 8 (part 1) (pdf)

Lecture 8 (part 2) (plain text)
 

Exams

Topics covered by midterm exam (plain text)

Topics covered by final exam (plain text)

Final exam sample questions (plain text)

Homework 7 answer