At the end of this course, the students; 1) Have the ability to understand scientific and mathematical principles and apply them to the practice of engineering. 2) Have the ability to use computer programs as tools for analysis applications 3) Have the ability to apply the advanced principles of measurement, data analysis, and design of experiments 4) Have the ability to apply the system/process design levels to industrial engineering problems, including the consideration of different technical alternatives while bearing in mind cost, environmental concerns, safety, and other constraints. 5) Have the ability to analyze, measure, test, and evaluate an industrial engineering problem
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
Knowledge representation. Rule-base systems. Knowledge acquisition, decision trees, ID3 algorithm. The inference engine: forward chaining, backward chaining, and backward chaining algorithms. Inexact reasoning, uncertainty models in expert systems. Validity of knowledge base. Fuzzy expert systems. Frame-based expert systems. Hybrid systems.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Expert systems: understanding. Basic concept and structure of ES.
2nd Week
Knowledge representaton. Representation via rule-based systems.
3rd Week
Knowledge representation. Implementation rules.
4th Week
Knowledge acquisition. Examples of knowledge acquisition.
5th Week
The inference engine. The forward chaining algorithm.
6th Week
The inference engine. The backward chaining algorithm.
7th Week
Inexact reasoning. Uncertainty management in expert systems.
8th Week
Validity of knowledge base. Examples of checking.
9th Week
Midterm
10th Week
Hybrid expert systems. Practical considerations.
11th Week
Fuzzy expert systems. Fuzzy rules and inference.
12th Week
Frame-based expert systems. Designing issues.
13th Week
Knowledge engineering. Problem assessment,Design and testing.
14th Week
Knowledge-based system projects.
RECOMENDED OR REQUIRED READING
James P. Ignizio. Introduction to Expert Systems. The Development and Implementation of Rule-Based Expert Systems, McGraw-Hill, Inc., 1991; Michael Negnevitsky. A Guide to Intelligent Systems, Addison-Wesley, 2001