Decision Support Systems 132412
Instructor: Mohammed AM Dwikat Credit Hours: 3
Time: SUN/TUE/THU 0100 – 0200 Course: Spring 2010
Course Description
The course will present important applications of ' what if ' analysis in decision making, data acquisition techniques, through understanding the structure of the decision process and the associated organizational structures. Use of computer software packages will be emphasized
Course Objectives:
This course is intended for MIS students. The purpose for this course is to introduce the students to the technologies of management support sustems. This course presents the fundamentals of the techniques and manner in which these systems are constructed and used
Course Outline
WEEK 1 |
Introduction: Decision Making, Factors Affecting Decision-Making, Management Support Systems Tools, Cognitive Limits, Decision Support Frameworks, Technologies for Decision-Making Processes, Technology Support Based on Anthony’s Taxonomy |
WEEK 2 |
Part 1:Decision-Making Systems, Models, and Support, Team-based decision making |
WEEK 3 |
System Types, DSS Models, Phases of Decision-Making |
WEEK 4 |
Decision Support Systems: An Overview |
WEEK 5 |
Modeling and Analysis |
WEEK 6 |
Decision-Making Systems: Modeling and Support |
WEEK 7 |
Management Support System: An Oveview |
WEEK 8 |
Part 2:Decision Support Systems |
WEEK 9 |
Business Intelligence: Data Warehousing, Data Mining, Data Acquisition, Business Analytics and Visualization |
WEEK 10 |
Data, Information, Knowledge, Database Models, Data Warehouse, Architecture |
WEEK 11 |
Data Warehouse Design and Development, Dimensional modeling,Grain,Data Marts |
WEEK 12 |
Part 3:Implementing MSS in the E-Business Era E-Commerce |
WEEK 13 |
Integration, Impacts and the future of Management Support Systems |
WEEK 14 |
Part 4:Decision Support System Development: Systems Development Life Cycle, Implementation Failures, Evolutionary Disruptors |
WEEK 15 |
Alternative Development Methodologies, Agile Development, DSS Development Methodology, DSS Prototyping, Change Management |
WEEK 16 |
DSS Technology Levels, Project discussions |
Part111:Implementing MSS in the E-Business Era
Assessment and grading system:
1st Exam |
15% |
Thursday 04/03/2010 |
2nd Exam |
15% |
Tuesday 13/04/2010 |
Home works/Project |
20% |
Due week 16th |
Participation |
10% |
|
Final Exam |
40% |
|
Text book:
Decision Supprt systems and Intelligent systems, Turban , Aronson and Liang, Seventh Edition 2005
Attendance and Dishonesty policies
Students are expected to attend all classes and complete all required work on time. The University Policy on excessive absence will be followed. Late to the class is considered absence. Irregular attendance or any substantial number of unexpected absences may weight adversely in the consideration of grades of any petition for a special academic privilege such as make-up exams. All excuses for absence must be secured to me at the next class period.
Cheating and other forms of academic dishonesty are prohibited. Students guilty of academic misconduct, either directly or indirectly through participation or assistance, are immediately responsible and disciplinary sanctions will be imposed through the regular institutional procedures.
Individual assignments are expected to be student’s solely efforts, giving your work to other students, or taking other students