CSE 327 AI Theory and Practice, Spring 2015

Professor Jeff Heflin

TTh 1:10-2:25pm, Maginnes 102

Course News

Check here for updates regarding the course.

Course Description

This course will provide a general introduction to Artificial Intelligence(AI). We will discuss what AI is, survey some of the major results in the field, and look at a few promising directions. In particular, we will seek answers to questions such as:

Our examination of these problems will focus on various data structures and algorithms that have been proposed as solutions.

For details about course content, grading, and assignments, see the class syllabus.

Office Hours

Mon. 1:30-3pm, Thr. 10-11:30am and by appointment in Packard Lab 330

Homework Assignments

Each of the homeworks will be made available here after they are handed out in class. The online versions of the homework are in PDF format.

Readings

Your readings will be listed below as they are assigned. Unless otherwise specified, all readings are from our textbook, Artificial Intelligence: A Modern Approach.

ReadingDue
Read Ch. 1-2.3 (pp. 1-46)1/22
Read Sect. 2.4-2.5 (pp. 46-59)1/27

Additional Class Materials

Syllabus
Contains information on course content, grading, assignments, and office hours
Supplemental Slides
This directory contains the slides that I use in class. Note, these slides only cover part of the lecture, and should not be used as a substitute for it.