Overview

This is the graduate introduction to artifical intelligence class. It is a quals class.

Instructor

• Office: D209 LSRC
• Phone: 660-6537
• Email: parr@cs.duke.edu
• Office hours: T, Th 2:30-3:30

Teaching Assistant

• Office: 01 North Building
• Phone: 660-4001
• Email: monika@cs.duke.edu
• Office hours: T 4:15-5:15, W 3:15-5:15

Meeting Times

T,TH 1:15-2:30 in LSRC D106

Textbook

Stuart Russell and Peter Norvig. (2002). Artificial Intelligence: A Modern Approach, second edition.
Prentice-Hall, 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

• five written homework assignments (10%),
• two programming projects (15% each),
• an in-class midterm (30%), and
• a final exam (30%).

Homeworks

• Homework 1 assigned 8/31, due 9/9 student solutions
• Homework 2 assigned 9/15, due 9/24
• Homework 3 assigned 9/30, due 10/8
• Homework 4 assigned 10/26, due 11/4
• Homework 5 assigned 11/9, due 11/18

Project!!!

New project:

New project due Dec. 2

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