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Instructor Class Description

Time Schedule:

Terry L Zimmerman
CSS 490
Bothell Campus

Special Topics in Computing and Software Systems

Examines current topics and issues associated with computing and software systems. Offered: AWSpS.

Class description

Artificial intelligence has a unique place in science, sharing borders with mathematics, computer science, philosophy, psychology, biology, cognitive science and others. This course will introduce the basic principles in A.I. research. We will cover simple knowledge representation schemes, problem solving paradigms, constraint propagation, search strategies, logic and graphical models. You will learn the foundational principles that drive A.I. applications such as intelligent agents for decision-making, automated reasoning, game playing, automated planning and scheduling, basic robotics, and as time permits, machine learning. Basic programming exercises will give you practice in implementing some of these systems.

Student learning goals

Students will have an understanding of the basic issues and forms of knowledge representation.

An understanding of blind and heuristic search strategies and be able to construct programs that execute them.

An understanding of topics such as minimax, resolution, etc. that play an important role in AI programs.

An understanding of automated planning, planning problem representation and solution methods.

General method of instruction

Instruction methodology will combine lectures, text assignments, in-class exercises, and programming projects.

Recommended preparation

CSS 342 / 343 Data Structures, Algorithms, and Discrete Mathematics

Class assignments and grading

The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
Last Update by Terry L Zimmerman
Date: 01/04/2014