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IN4013TU	Exoert Systems in a Tcchnical Environment I 6
	Dr. LJ.M. Rothkrantz
Contacl Hours / Week	2/2/0/0
x/x/x/x	Pract.
Education Period	I
Exam Period	nonę
Course Language	English
Course Contenls	Survey of types of expert Systems, including underlying principles and architectures. Design and implementation issues are elucidated tor expert Systems in technical environments. Introduction to Fuzzy Systems and probabilisticmodels as bayesian belief networks. In the second part of the course the combined tcchnology of cxpcrt systems. numerical computing and ncural networks is treated. In the practical, an assignment is to build an expert system with CLIPS.
Siudy Goals	After sucessfull completion of the course: -students have a historal overview of knowledge based systems -students are able to design different types of expertsystcms -students are able to use different expert system shells such as CL1PS and GENIE -students are able to extract knowledge from experts, or Information systems, data bases and to rewrite this knoledge in if-then -students have an understanding of Bayesian networks and are able to design and implemcnt such a system.
Education Method	Lectures, lab work
Literaturę and Siudy Materials	Lecture notes
Assessment	Weekly assignments (written exam on request)
Kemarks	40 hrs of lab work.

WM0605TU	Business Economics for Engineers	4
Module Manager	Dr. G. van der Velde
Contact Hours/Week	2/0/0/0
Education Period	1
Start Education	1
Exam Period	'
Course Language

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