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Course List

Decision Support Systems

  • Course Code :
    ISY 433
  • Level :
    Undergraduate
  • Course Hours :
    3.00 Hours
  • Department :
    Department of Information Systems

Instructor information :

Area of Study :

This course covers the following topics: Introduction to decision support systems; DSS components; Decision making and DSS; DSS software and hardware; developing DSS; DSS models; types of DSS; group DSS; executive information systems; data mining; artificial intelligence and expert systems. Course Goals: The course is devoted to introduce decision support systems; show their relationship to other computer-based information systems, demonstrate DSS development approaches, and show students how to utilize DSS capacities to support different types of decisions

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Decision Support Systems

Problem solving, decision-making process, model building, types of computer based information systems Approaches and techniques to construct and implement an effective computer-based Decision Support Systems (DSS). Alternative software development tools or generators of a DSS. The role of computational tools (simulation, optimization, statistical and other quantitative models) and computer information systems (MIS, AI and ES) to support and enhance the capability of the DSS. Discussion and analysis of real life case studies of integrated DSS is stressed throughout the course.

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Decision Support Systems

Course outcomes:

a. Knowledge and Understanding:

1- Be able to understand the importance of decisions in the work and the life
2- Be able to use DSS Software Tools
3- Understand how to Evaluating the Success/Failure of Decision Support Systems

b. Intellectual Skills:

1- Discuss the advangates/disadvantages of different Types of decision support systems
2- Analyze practical cases from the life for different problems (technical , management)
3- Design models ,solutions and alternative choices reports decision makers

c. Professional and Practical Skills:

1- DSS software tools.
2- Database language
3- Statistical software tools

d. General and Transferable Skills:

1- Work in a group inorder to analyze ,design , create a solutions for a technical problems in one report
2- Work with other groups in order to make different decisions and GDSS

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Decision Support Systems

Course topics and contents:

Topic No. of hours Lecture Tutorial/Practical
Decision Making and Computer Support : An overview 3 2 2
Management Support Systems 3 2 2
Decision Making Systems, Modeling and Support 6 4 4
Decision Support Systems: An overview 6 4 4
Data Warehousing, Access, Analysis, etc 6 4 4
Modeling and Analysis 6 4 4
Decision Support Systems Development 3 2 2
Collaborative Computing Technologies 3 2 2

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Decision Support Systems

Teaching And Learning Methodologies:

Teaching and learning methods
• Lectures
• Exercises
• Lab Work
• Cases

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Decision Support Systems

Course Assessment :

Methods of assessment Relative weight % Week No. Assess What

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Decision Support Systems

Books:

Book Author Publisher
Decision Behaviour Analysis and Support Simon French Cambridge
Decision Support and Business Intelligence Systems Efraim Turban PEARSON

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