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 AND CREDITS
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
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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