CSE 327 AI Theory and Practice, Spring 2012
Professor Jeff Heflin
MWF 1:10-2:00pm, Packard Lab 466
Course News
Check here for updates regarding the course.
- 02/13/12 - I have posted the solutions to HW #1
- 02/10/12 - The original handout for Homework #2 should say Chapters 3 and 5, not 4 and 6. The online version has been corrected.
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:
- How do you represent and reason with general-purpose knowledge?
- How can a robot or artificial agent formulate a plan to achieve a task?
- How can an agent make good decisions given uncertainty about its environment?
- How can an agent learn in order to improve its behavior or cope with unanticipated situations?
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.
Textbook
Russell, Stuart and Peter Norvig, Artificial Intelligence: A Modern Approach (third edition). Prentice-Hall, New Jersey, 2010. ISBN 0-13-604259-7
Office Hours
Mon. 10-11:30am, Thr. 1:30-3pm 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.
| Reading | Due |
|---|
| Read Ch. 1 (pp. 1-30) | 1/18 |
| Read Sect. 2.1-2.3 (pp. 34-46) | 1/20 |
| Read Sect. 2.4-2.5 (pp. 46-59) | 1/23 |
| Read Sect. 3.1-3.3 (pp. 64-81) | 1/25 |
| Read Sect. 3.4 (pp. 81-91) | 1/27 |
| Read Sect. 3.5 (pp. 92-102) | 1/30 |
| Read Sect. 3.6-3.7 (pp. 102-109) | 2/1 |
| Read Sect. 5.1-5.2 (pp. 161-167) | 2/3 |
| Read Sect. 5.4 (pp. 171-176) | 2/6 |
| Read Sect. 5.7-5.9, 7.1-7.2 (pp. 180-186,234-240) | 2/8 |
| Read Sect. 7.3-7.4 (pp. 240-249) | 2/10 |
| Read Sect. 7.5.3-7.5.4, 7.7-7.8 (pp. 256-259, 265-275) | 2/13 |
| Read Sect. 8.1-8.2.2 (pp. 285-294) | 2/15 |
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.
- Search Strategy Code
- A ZIP file containing Java classes that implement three different best-first search strategies. The code is designed to be extended with definitions of specific search problems, so that it can then be used to solve those problems. This code should be used when performing the Extra Credit exercise of HW #2. This code is intended only for use in conjunction with CSE 327 at Lehigh, and is not authorized for any other purpose.