This course describes the AI techniques necessary for an agent to act intelligently in the ``real'' world. Techniques include uncertainty reasoning, learning, natural language processing, vision and speech processing. Basic AI techniques (such as search, knowledge representation and planning) will be reviewed. Emphasis will be on implementation and experimentation with the goal of building robust intelligent agents.
Students in this course will be introduced to modern
artificial intelligence techniques which enable
computer systems to interact with the world and the
computer user. This permits efficient decision making
by computer programs and is therefore an essential
component of future, interactive computer software.
Students successfully completing this course will be
able to apply a variety of techniques for the design
of intelligent agents to address complex problems.
All students are expected to have passed Artificial Intelligence I (CSE 5361).
S. Russell and P. Norwig, ``Artificial Intelligence: A Modern Approach'', Second edition, Prentice Hall, 2003
Additional course materials such as assignments and example solutions will be available electronically on the course web page. Changes and corrections, if any, will also be announced by e-mail.
This course will require programming and all students will have an account on the ACS machines gamma and omega. If not otherwise stated homework assignments will be programmed in C++, Java, or Matlab. Additional details will be announced in class.
There is a course web page at http://vlm1.uta.edu/~athitsos/courses/cse5361_spring2008. All changes and supplementary course materials will be available from this site. In addition, necessary changes or important announcements will also be distributed by e-mail.
Office: NH 309
Office hours: Tuesday and Thursday, 10:00am-11:00am.
E-mail: surovi99 at-sign yahoo dot com
Office: TBA
Office hours: TBA.