EE 488 - Introduction to Artificial Intelligence 0 3 and Expert Systems

Institution:

Milwaukee School of Engineering

Subject:

Description:

The objective of this course is to provide the student with an overview of topics in the field of artificial intelligence (AI). The course also provides the student with a working knowledge of designing an expert systemand applying expert systemtechnology in designing and analyzing engineering systems. The first part of the course covers historical background, knowledge acquisition and knowledge representation including propositional calculus, predicate calculus, semantic networks, frame systems and production rules. Various search techniques will be discussed. Fuzzy logic systems, neural network systems and computer vision systems will be briefly discussed in the second part of the course. Languages for AI problemsolving such as Prolog and/or LISP will be introduced. The third part of this course will be devoted to the design of expert systems. Applications of expert systems in engineering systemdesign and analysis will be stressed throughout. Case studies will be discussed. Class project is required. Students are encouraged to design expert systems for his/her own engineering applications, and an expert shell will be used to implement the design. (prereq: (CS-150 or CS-1010 or SE-1010 or EE-1910) and, (MA-3260 orMA-262))

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.msoe.edu

Phone Number:

(800) 332-6763

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Quarter

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