School of Engineering and Technology, (SET)
 
AT71.04 : Decision Support Technologies  3(2-3)
 
Course objectives:

To provide essential Decision Support Technologies concepts and skills needed to build and implement applications to support decision making. The students will have hands-on experience with decision support software tools. Decision Support Technologies cover Decision Support Systems (DSS), Executive/Enterprise Information Systems (EIS), Group Support Systems (GSS), Expert Systems (ES), Business Intelligence, Data Warehousing, and Data, Text, and Mining.
 
Learning Outcomes:

Overview of Decision Support Systems (DSS). Decision Making and Support. DSS Architecture. Business Intelligence. Data Warehousing. Business Analytics and Data Visualization. Development of DSS. Executive/Enterprise Information Systems (EIS). Group Support Systems (GSS) and Collaborative Computing Technologies. Expert Systems and Advanced Intelligent Systems. Special Aspects.
 
Pre-requisite(s):

None
 
Course Outline:
I.          Overview of Decision Support Systems (DSS)
1.     DSS Defined
2.     Taxonomy of DSS
3.     DSS Characteristics and Capabilities
4.     Ingredients of DSS

II.        Decision Making and Support
1.     Decision Maker
2.     Process of Making a Decision
3.     Decision in the Organization

III.       DSS Architecture
1.     Data Management
2.     Model Management
3.     User Interface
4.     Knowledge Base

IV.       Business Intelligence
1.     Drivers of BI
2.     Characteristics of BI
3.     BI Implementation
4.     Data, Text, and Web Mining

V.        Data Warehousing
1.     Characteristics of Data Warehouse
2.     Data Warehouse Architecture
3.     Data Warehouse Development
1.     Data Warehouse for Decision Support

VI.       Business Analytics and Data Visualization
1.     Business Analytics
2.     Online Analytical Processing (OLAP)
3.     Data Visualization
VII.     Development of DSS
1.     Constructing DSS
2.     DSS Applications
3.     Implementing DSS

VIII.    Executive/Enterprise Information Systems (EIS)
1.     Evolution of EIS        
2.     Concept of Enterprise DSS
3.     EIS Components and Capabilities

IX.       Group Support Systems (GSS) and Collaborative Computing Technologies
1.     Group Decision Making, Communication, and Collaboration
2.     Computer-Supported Cooperative Work
3.     Group Support Systems and Technologies
4.     Virtual Workplace

X.        Expert Systems (ES) and Advanced Intelligent Systems
1.     Concept of Expertise
2.     Structure of Expert System
3.     Intelligent System Development
4.     Intelligent Software Agents

XI.       Special Aspects
1.     Integrating DSS
2.     Future Direction
 
Laboratory Sessions:

Students will be assigned to do exercises and a term project to build a decision support system using decision support software and programming such as Expert Choice, Criterium Decision Plus, etc.
 
Learning Resources:

Textbook:
E. Turban, J. Aronson, T. Liang, and R. Sharda:
Decision Support and Business Intelligent Systems, Prentice-Hall, 2007.
 
Reference Books:
E. Turban, R. Sharda, and J. Aronson:
Business Intelligence: A Managerial Approach, Prentice-Hall, 2007.

C. L. Dunn, J. O Cherrington, and A.S. Hollander:
Enterprise Information Systems: McGraw-Hill, 2006.

M. Liberatore and R. Nydick:
Decision Technlogy: Modeling, Software, and Applications, John Wiley & Sons, 2003.

M. Mora, G. A. Forgionne, J. N. D. Gupta (eds):
Decision Making Support Systems: Achievements, Trends and Challenges for the New Decade, Idea Group Publishing, 2002.
 
Journals and Magazines:
ACM Transactions on Information Systems
Decision Sciences
Decision Support Systems
DSS Transactions
Group Decision and Negotiation
Harvard Business Review
Information Systems Management
Journal of Intelligent Information Systems
Journal of Information Technology Management
Journal of Management Information Systems
MIS Quarterly
The Journal of Collaborative Computing
 
 
 
Evaluation Scheme:
The final grade will be computed from the following constituent parts: 

Mid-semester exam (30%),
Final exam (30%) and 
Assignments/projects (40%)

Closed-book examination is used for both mid-semesterand final exam.
 
Instructor(s):
SECTION NAME