COURSE SYLLABUS

IE 416        Expert Systems In IndustrIal EngIneerIng              (3-0) 3

URL: http://ie.atilim.edu.tr/~ie416

Catalog Data:

Technology of expert systems, and industrial engineering applications in manufacturing and service facilities. Issues in knowledge acquisition, implementation and validation. Hands-on development of a simple expert system. Artificial intelligence concepts, heuristics, problem solving, intelligent attributes. Use of expert systems in industry. Intelligent decision support systems. Case studies about engineering environments.

Textbook:

Jackson,  P., Introduction to Expert Systems, Addison-Wesley, 1998.

References:

·         Durkin, J., Expert Systems Design and Development, Macmillan Publishing Company, 1994.

·         Giarratona, J. and Gary, R., Expert Systems: Principles and Programming, PWS Publishing Company, 1993.

·         Liebowitz, J. and Letsky, C., Developing Your First Expert System - An Interactive Tutorial, CRC Press, 1997.

·         Liebowitz, J. (ed.), Handbook on Expert Systems, CRC Press, 1997.

·         Nikolopoulos, C., Expert Systems, First and Second Generation and Hybrid Knowledge Based Systems, Marcel Dekker, 1997.

·         Ericson, C., Daniel, M., Expert Systems Application, Artech House, Incorporated, 1989.

·         Sillince, J., Business Expert Systems , Prentice Hall Professional Technical Reference, 1997.

Prerequisites by Topic:

None.

Method for Assessing Student Knowledge of Prerequisite Topics:

None.

Goals:

This course will provide students with the skills needed to identify appropriate areas for the application of expert system technologies and to familiarize them with the methodologies and tools used in industrial engineering. Students should be able to recognize organizational and societal impacts of expert system technologies in service and/or production environments. Students should be aware of cost considerations and implementation strategies.

Objectives:

·         To enable students to search for knowledge (acquisition) and to specify it clearly (validation).

·         To enable students  to design a knowledge structure integrated with production planning, quality control and other subsytems of an industrial organization.

·         To introduce the features of a feasible expert system.

·         To enable students use various knowledge representation methods and  different expert system structures from the industrial engineering point of view.

·         To allow students to present oral and written reports.

·         To allow students to work in teams.

Topics:

1.        Fundamentals of expert systems (1 week)

2.       Knowledge acquisition and knowledge validation representation (2 weeks)

3.       The tools for building efficient expert systems for industrial engineering applications (2 weeks)

4.       User interface and design issues and integration with decision  support system (2 weeks)

5.       Basic concepts and procedures on how to select, initiate, implement, and manage the the expert system  and how to cope with uncertainty  (2 weeks)

6.       Evaluation of expert systems approaches  (2 weeks)

7.       Use of expert systems in industry, intelligent decision support systems, case studies in industrial engineering applications (2 weeks)

8.       The future of expert systems (1 week)

Computer Usage:

Software applications for artificial intelligence.

Laboratory Projects:

None.

Contribution to Professional Component:

1.        Mathematics and Basic Science                 0 credits

2.       Engineering Science or Design                   3 credits

3.       General Education                                     0 credits