1 Course Description

Contents and Objectives:

 
This course describes the AI techniques necessary for an agent to act intelligently in the “real” world or to deal with large amounts of data which could not be processed in a traditional, exhaustive fashion. Techniques include probabilistic and sampling-based reasoning techniques as well as techniques for applications on real-world data, including knowledge discovery in multimedia data, language processing and understanding, and semantic analysis The AI techniques will be presented in the context of practical applications from different areas in Computer Science.

Students in this project and application oriented course will be introduced to modern artificial intelligence techniques which enable computer systems to interact with the world, large semantic data sets, and the computer user. This permits efficient decision making by computer programs and is therefore an essential component of future, interactive computer software as well as big data analysis and knowledge discovery applications. Students successfully completing this course will be able to apply a variety of techniques for the design of intelligent agents to address complex problems.

Prerequisites:

 
All students are expected to demonstrate basic knowledge of elemental AI techniques (including informed search, basic planning algorithms, first order logic) either by having passed Artificial Intelligence I (CSE 4308 / 5360) or equivalent, or by obtaining the consent of the instructor. Also, students are expected to have a basic background in Probability and Statistics e.g. IE 3301 or CSE 5301. In addition, programming experience will be useful for assignments and projects.

Textbooks:

 
S. Russell and P. Norwig, “Artificial Intelligence: A Modern Approach”, Third edition, Prentice Hall

Course Materials:

 
Additional course materials such as additional readings, 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.

E-mail and WWW page:

 
There is a course web page at http://ranger.uta.edu/~huber/cse5361 . 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. In order to receive class-related messages you have to send an e-mail to the instructor (huber@cse.uta.edu).

Tentative Office Hours:

 
Office hours for the course will be held by the instructor in ERB 522 or ERB 128, TTh 3:30 - 4:30, or by appointment. Times are subject to change and will be posted on the course page. If for some reason you can not make it to any of these office hours, please inform the instructor.