C463 / B551 Artificial Intelligence

Other Links
Python documentation
Quick reference for the elisp Emacs interface

Prerequisite: C251. C311 recommended.

Textbook: S. Russell, P. Norvig (2003): Artificial Intelligence . A Modern Approach. Second edition, Prentice Hall. Used as a reference.

Grading system:

• About 10 homework assignments 20 points each
• Project (B551) 50 points
• Midterm exam 50 points
• Final exam 50 points

Guidelines for assignments:

• The assignments will be posted on the course web page.
• The assignments are due at midnight of the due date.
• The programming assignments are turned in by email. The written assignments can be turned by email or on paper.
• No homework accepted after 2 weeks from the due date. A homework turned in 1 week late loses 25% of the points. A homework turned in 2 weeks late loses 50% of the points.
• Reasonable expectations concerning the program structure and clarity: functions should be commented and should not contain more than 20 lines of code. Multiple source files are expected when appropriate.

Programming environment:

• OS: Linux, labs NS#207 and NS#209. Entry to these labs is based on the student ID card.
• Language: Emacs Lisp or Python
• Editor: emacs, recommended for the embedded Lisp interpreter.

Course Outline
1. Introduction, definition, philosophy
2. Intelligent agents
3. Logic, knowledge representation, reasoning
4. Fuzzy logic, probabilistic reasoning
5. Planning, game playing, decision-making
6. Expert systems
7. Machine learning
8. Genetic algorithms, neural networks, SOM
9. Elements of natural language processing.