CS 580 001/DL1 Home Page (Fall 2012)

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).
• Midterm review: 3/15/2006; see Schedule for solutions.
• Final review: 4/26/2006
• Homework
  • Homework #1: hwk1, Due: Sep. 14, 2012 at 11:59pm
  • Homework #2: hwk2, Due: Oct. 12, 2012 at 11:59pm (extended)
  • Homework #3: hwk3, SortedPairs1000.lisp, Due: Nov. 9, 2012 at 11:59pm
  
  
• Final Project: description, Due: Dec. 11, 2012
  
  
• 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
  • Sbcl info Steel Bank Common 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.

Teaching Assistant:

Nalini Vishnoi