Artificial Intelligence II (CSE 5361) Spring 1996
Description: This course describes the AI techniques necessary
for an agent to act intelligently in the ``real'' world. Techniques
include natural language processing, uncertainty reasoning, learning,
vision and speech processing. Basic AI techniques (such as search,
knowledge representation and planning) will be reviewed in the context
of the C++ programming language which will be used for implementing
the more advanced techniques. Emphasis will be on implementation and
experimentation with the goal of building robust intelligent
Prerequisites: Artificial Intelligence I (CSE 5360).
Textbooks: Russell and Norvig, Artificial
Intelligence: A Modern Approach, Prentice Hall, 1995.
Grading: 5 Homeworks (50%), Project (50%).
Larry Holder , 330 Nedderman Hall, 272-2596, firstname.lastname@example.org.
Office hours: TuTh 6-7 or by appointment.
- Syllabus (postscript)
- Homework 1 (postscript)
- Homework 2 (postscript)
- Homework 3 (postscript)
- Homework 4 (postscript)
- Homework 5 (postscript)
- Class Project (postscript)
Lawrence B. Holder
Department of Computer Science and Engineering
University of Texas at Arlington
Box 19015, Arlington, TX 76019-0015
phone: (817) 272-2596, fax: (817) 272-3784