This course surveys a wide range of issues involved in creating computer programs that display some form of intelligent behavior. The following are among some of the topics that we will be cover: Intelligent Agents,  Game Playing,  Knowledge Representation, Uncertain Reasoning, Machine Learning, Data Mining, Speech and Language Processing,  Information Retrieval, and Search Engines.
 

Text and Readings:

Artificial Intelligence: A Modern Approach
By Stuart Russell and Peter Norvig
This text is available at all the online bookstores.
Other papers will be assigned as needed.

Requirements:

Homeworks:  4 or 5 homeworks will be assigned. These will involve writing programs, experimenting with existing programs, and writing short papers. Programming assignments will be done using the Python language.
Exams:  There will be 2 exams and a final. Each will cover roughly a third of the material.

Term Paper/Project: This paper/project is intended to demonstrate that you have mastered one area of AI in some depth.  Details will be discussed in class.
Participation:  I expect you to do the assigned readings and come to class prepared to contribute to class discussions.
Grading:  The following weights will be used in computing your final grade: Exams 45%, HWs 25%, term paper 20%, and participation 10%.

Python Info

CATECS HW Procedures

Tentative Schedule: