Basics

Where, when, who

Times and places

Lecture (class number: 15032, 15187)

Tu Th, 4:00 - 5:15
Lindley Hall 102

Lab 1 (class number: 15033, 15188)

W 2:30 - 3:30
Swain Hall East 045

Lab 2 (class number: 15034, 15189)

W 4:00 - 5:00
Ballantine Hall 118

Instructor

Mike Gasser
Office hours: M 2:30-4:00, EG 804; Th 2-3:30, LH 230H
Email: gasser AT cs.indiana.edu (please put "B351" in the subject line)

Associate instructors

Steve Bogaerts
Office hours: Tu 2-4:00, LH 230
Email: sbogaert AT cs.indiana.edu

Shakila Shayan
Office hours: M 1-3:00, LH 230
Email: sshayan AT cs.indiana.edu

Students

Email to the whole class: b351-all AT cs.indiana.edu

Overview

The purpose of this course is to familiarize students with basic concepts and methods in artificial intelligence. The course is organized around the following topics:

Heuristic search
Representation and reasoning
Learning
Perception and understanding
Planning and action

Prerequisites

You should be familiar with the Scheme programming language, which we will use for all assignments, and ideally should have taken a data structures course.

Textbook

Artificial Intelligence: a Modern Approach (2nd Edition), Russell, Stuart & Norvig, Peter. Prentice Hall, 2003.

A copy of the book is on 2-hour reserve in the Swain Library.