Download Artificial Intelligence and Expert Systems (CB711) Lecturer: Dr

Artificial Intelligence and Expert Systems (CB711)
Lecturer:
Dr. Emad Elbeltagi
E-mail: [email protected], [email protected]
Homepage: http://osp.mans.edu.eg/elbeltagi
Objective
The primary objective of this course is to provide an introduction to the basic principles,
techniques, and applications of Artificial Intelligence (AI) in the field of construction
engineering and management. Upon successful completion of the course, you will have an
understanding of the basic areas of artificial intelligence and their applications in design and
implementation of intelligent systems for a variety of tasks in analysis, design, and problemsolving. Graduate students are expected to develop some familiarity with current research
problems and research methods in AI by working on a research or design project.
Grading
Class Performance/Attendance
10%
th
Midterm # 1 (7 week)/Assignments/Quizes/Presentations 25%
Midterm # 2 (12th week)/Assignments/Quizes/Presentations 25%
Final project and presentation
40%
Textbooks
-
Lin, C.-T., and Lee, C.S.G., Neural Fuzzy Systems; A neuro-Fuzzy Synergism to
Intelligent Systems, Prentice Hall P T R, Upper Saddle River, NJ, 195.
Ross, T.J., Fuzzy Logic with Engineering Applications, McGraw-Hill, Inc., New York,
1995.
Other notes will be presented to the students in class.
Course Outline
Week No.
Date
Title
1
14/3/07
Overview – Introduction to AI
2
21/3/07
Fuzzy set theory
3
28/3/07
Fuzzy mathematics
4
4/4/07
Fuzzy rule-based systems
5
11/4/07
Applications
6
18/4/07
Evolutionary Algorithms (EA): an introduction
7
2/5/07
Presentations/Exam
8
9/5/07
Basic EA operations
9
16/5/07
Overview of different Algorithms
10
23/5/07
Applications
11
30/5/07
Neural Networks: an introduction
12
6/6/07
Presentations/Exam
13
13/6/07
Back-propagation
14
20/6/07
Applications
15
27/6/07
Final Presentations
16
3/7/07
Final Presentations/Exam