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IED308 Principles of Artificial Int and knowledgebased Systems 7.5 ECTS credits | |
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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 | |
| Individual exam | 6.00ECTS |
| Required assignments | 1.50ECTS |
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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. Further information: Lars Furberg |
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