COMPSCI 270 

Fall 2004


Artificial
Intelligence 
[ Home  Schedule ]
Overview
This is the graduate introduction to artifical intelligence class. It is a quals class.
Instructor
Ronald Parr
 Office: D209 LSRC
 Phone: 6606537
 Email: parr@cs.duke.edu
 Office hours: T, Th 2:303:30
Teaching Assistant
Monika Schaeffer
 Office: 01 North Building
 Phone: 6604001
 Email: monika@cs.duke.edu
 Office hours: T 4:155:15, W 3:155:15
Meeting Times
T,TH 1:152:30 in LSRC D106
Textbook
Stuart Russell and Peter Norvig. (2002). Artificial
Intelligence: A Modern Approach, second edition.
PrenticeHall, Englewood Cliffs, New
Jersey. (book home
page)
Mailing List
The mailing list for the class is cps270@cs.duke.edu.
Prerequisites
It is assumed that students are familiar with programming (any
language), basic algorithm analysis, and simple linear algebra, probability
theory and calculus.
Grading
Class grade will be based on:
 five written homework assignments (10%),
 two programming projects (15% each),
 an inclass midterm (30%), and
 a final exam (30%).
Homeworks
Project!!!
Old project:
Here's the project pdf thingie. You also want the entire contents of this folder. due 10/29
Specs:
 7000 node/turn limit
 5 second/turn time limit
 1/3 second second/turn average limit
 2000 turn limit (games really much shorter)
 Scaling factor  2