Engelska Studiehandboken kurser

Business Adm and Social Science

IEA303 Principles of Artificial Intelligence and Expert Systems 7.5 ECTS credits

DENNA SIDA FINNS OCKSÅ PÅ SVENSKA

General information about studying at Luleå university

TIMEPERIOD: Q IV

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/CREDITS


Assignment Report                                           	1.5ECTS
Written exam                                                	6.0ECTS

COURSE LITTERATURE
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 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 : 97-09-25
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