Introduction to expert systems and applications
K P Dabke
3 points * 25 lectures and tutorials * Second semester * Clayton * Prerequisites: Level 2 substantially complete
Objectives The student is expected to develop a knowledge and understanding of the nature of expert systems as part of artificial intelligence and knowledge based systems, an appreciation of the strengths and weaknesses of expert systems applications to engineering and other knowledge-rich fields, and an awareness of the need, appropriateness, suitable methodology and advantages of expert system application.
Synopsis Functional description of an expert system; structure and components of an expert system; methods of representing knowledge; treatment of uncertainty; design and implementation of an expert system using an expert system building tool; review and reporting of literature.
Assessment Assignments * Test
Prescribed texts
Dabke K P Lecture notes and references on expert systems Dept Electrical and Computer Systems Engineering, MiTec, 1997
Published by Monash University, Clayton, Victoria
3168 Copyright © Monash University 1996 - All Rights Reserved - Caution Authorised by the Academic Registrar December 1996 |