CS 480-001 Home Page (Spring 2009)

CS 480 Introduction to Artificial Intelligence (3:3:0). Prerequisites: CS 310 and 330.

This course explores principles and methods for knowledge representation, reasoning, learning, problem solving, planning, heuristic search, and natural language processing and their application to building intelligent systems in a variety of domains. LISP programming language is used.

Syllabus
Schedule (includes slides; class dates will be fixed).
Midterm review examples.
Final review examples.
Projects
- Final project: project, Due: 5/5/2009.
Homeworks
- Homework #1: hwk1, Due: 2/12/2009 at 11:59pm.
- Homework #2: hwk2, Due: 2/27/2009 at 11:59pm.
- Homework #3: hwk3, Due: 3/17/2009 at 11:59pm.
- Homework #4: hwk4, pairs, Due: 3/31/2009 at 11:59pm.
Related Documents
- Beating the averages Paul Graham's article on Lisp
- Eye on the prize, Nilsson's paper on AI: ps, pdf
- Playing with AI - a collection of short articles on games: ps, pdf
- Matlab primer, Introduction to matlab: ps, pdf
Useful links
- Dr. Luke's lisp tutorial
- CMU Artificial Intelligence Repository
- Artificial Intelligence: A Modern Approach Russel & Norvig book
- Common Lisp the Language, 2nd Edition, Guy L. Steele
- Peter Norvig Lisp Resources
- Clisp info Free Lisp
- Lispworks LispWorks Personal Edition
- Computer Vision Homepage
- UCI Machine Learning Data Repository
General Resources
- George Mason University Technology Resources
- The Data Analysis BriefBook: A condensed handbook, or an extended glossary, written in encyclopedic format, covering subjects in statistics, computing, analysis, and related fields.
Zoran Duric (zduric@cs.gmu.edu) 2/10/2009