CSIT 461 - Introduction to AI and Knowledge Engineering

Institution:

SUNY at Fredonia

Subject:

Computer & Info Sciences

Description:

Overview of artificial intelligence tools and techniques; searching methods; applications of AI: game playing, expert systems and knowledge-based systems; components of a knowledge-based system; knowledge acquisition, representation, and formalization; numerical and symbolic processing; information theoretic and decision theoretic algorithms; inference engine; machine learning; reasoning and explanation; basic concepts and major issues of knowledge engineering; current tools and techniques for analysis, design, development of the knowledge based systems; applications in robotics, medical diagnosis, smart decision systems, etc.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.fredonia.edu

Phone Number:

(716) 673-3111

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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