Course Structure
First semester 1430/1431H=2009/2010
Course id: IS 466 – Decision Support System (previously coded as IS 465)
Credit hours: 4 (3H. Lecture + 1H. Tutorial)
Instructor: Dr. Mourad YKHLEF
Tutorial: Mr. Omar Arwais
Objectives: The intention of this course is to introduce the essential concepts of decisionn support systems. New advanced trends related to the field will be introduced to give the student a good knowledge about the current and future directions of the field.
Course’s content:
|
1. Preliminaries and Overview |
1 week |
|
2. Data Warehousing and OLAP |
3 weeks |
|
3. Decision Analysis |
3 weeks |
|
4. Forecasting |
2 weeks |
|
5. Simulation |
1 week |
|
6. Decision Tree Induction |
1 week |
|
7. Intelligent Decision support systems |
1 week |
| 8. Association analysis for deciders |
2 weeks |
Recommended books:
- Efraim Turban and Jay E. Aronson, Decision Support Systems and Intelligent Systems, Prentice Hall, 7th edition 2003, ISBN 0131230131
- John A. Lawrence and Barry A. Pasternack, Applied Management Science: A Computer-Integrated Approach for Decision Making, Wiley Text Books, 2nd edition 2002, ISBN 0471391905
- J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2001, ISBN 1558604898
Evaluation:
15% for first mid term exam: Sunday 15 November 2009
20% for second mid term exam: Sunday 27 December 2009
10% for homework, quiz and presence
15% for project