Business Adm and Social Science

IEA612 Principles of Artifical Intelligence and Expert Systems 7.5 ECTS credits

DENNA SIDA FINNS OCKSÅ PÅ SVENSKA

General information about studying at Luleå University
TIMEPERIOD:

LANGUAGE: English/Swedish

EXAMINER
L Furberg Fo ing

PREREQUISITES
Administrative Data Processing Systems A and B1, or equivalent.

COURSE AIM
The aim of the course is to give the student - knowledge of different techniques and methods for Artificial Intelligence and the distinctive character of Expert systems - knowledge of tools, development and the area of use for Artificial Intelligence and Expert systems - knowledge of and practice in methods for collecting and transforming information - practical knowledge of design and construction of an Expert systems

CONTENTS
The course deals with - techniques of knowledge representation - diffuse domains, knowledge data bases - methodology, tools for systems construction - methods of working, designing methodology for Expert systems - design and construction (in practice) of an Expert system in a smaller domain

TEACHING
Teaching will take the form of lectures/lessons and compulsory laboratory work.

EXAMINATION
Examination will be in the form of written examination and required assignments.
COURSE GRADE SCALE:

ITEMS AND CREDITS 
Compulsory Assignment Report                                	1.5 ECTS
Written exam                                                	6.0 ECTS

COURSE LITERATURE
Artificiell intelligens och expertsystem - Röda Tråden (in Swedish), IES/DSV Högskolan i Luleå, 1996 Jackson P: Introduction to Expert Systems, 2:nd Ed., Addison & Wesley 1990, 526 p. Rich E , Knight K: Artificial Intelligence 2:nd Edition, Mc Graw-Hill Book Company 1991, 620 p. References: Luger, Stubblefield: Artificial Intelligens, Structures and Strategies for complex problem solving, 2:nd Ed., Benjamin/Cummins Publ. Company, 1993, 735 p.

REMARKS
Last modified 97-03-05
Further information:
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