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أنظمة دعم القرار Decision Support Systems

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Fri, 2010-04-23 20:29 — Mohammed Abdel Khaliq Dwikat
Course Code: 
132412
Course Outline: 

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

  1. E-Commerce
  2. Integration, Impacts and the future of Management Support Systems

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

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