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New Cairo
Egypt

List of Courses

Decisions Support Systems

  • Course Code :
    IS433
  • Level :
    Undergraduate
  • Course Hours :
    3.00 Hours
  • Department :
    Department of Information Systems

Instructor information :

Area of Study :

Explain different kinds of decision support systems and their functions. Explain how decision support systems can be used in different kinds of organizations. Analyze a typical decision situation to evaluate different alternatives. Use effectively communication skills. Explain how decision support systems can be used in different kinds of organizations and how computing is utilized as a management tool which is an integral part of the management decision making process. Implement and evaluate information technology-based systems that support managerial and business functions, data-driven DSS and model-driven DSS. Illustrate the operational, strategic and practical issues in decision support systems.

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Decisions Support Systems

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. It 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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Decisions Support Systems


Course outcomes:

a. Knowledge and Understanding:

1- Illustrate the basic components, types and methods of computer-based Decision Support Systems (DSS)
2- Operate and develop appropriate context and applications of DSS tools and techniques
3- Identify different computer-aided data management and modeling tools for DSS, and explain basic features and applications of two DSS model Building Languages.
4- Describe decision support techniques.

b. Intellectual Skills:

1- Demonstrate the role of DSS in different fields
2- Analyze different examples of decision support systems to alternative decision situations, and apply DSS tools and methods to different decision problems.
3- Select appropriate DSS tools for application in specific situation.
4- Evaluate and verify the productivity and efficiency of alternative DSS modeling Languages.

c. Professional and Practical Skills:

1- Apply data retrieval techniques.
2- Analyze decision problems and select appropriate analytical tools.
3- Execute different systems in terms of general quality attributes and possible tradeoffs presented within the given problem.

d. General and Transferable Skills:

1- Work in a team effectively and obtain problem solving skills.
2- Apply oral communication skills and techniques in report writing.


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Decisions Support Systems

Course topics and contents:

Topic No. of hours Lecture Tutorial/Practical
Decision making, Systems, Modeling and Computer Support, Decision Support Systems (DSS) - An Overview 4 2 2
Application, experience and Impact of DSS 4 2 2
Data-centered Decision Support Systems 4 2 2
Data preprocessing and Extraction 4 2
Quiz 2
Data Analysis and Visualization 4 2 2
Model-centered Decision Support Systems 4 2 2
Optimization Models 4 2 2
Mid-Term Exam 2 2 2
Predictive Models 4 2 2
Descriptive Models 4 2 2
Developing DSS using visual Decision Support Language (VDSS) 4 2 2
Developing DSS using General Algebraic Modeling System (GAMS) 4 2 2
Final Exam 2

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Decisions Support Systems

Teaching And Learning Methodologies:

Teaching and learning methods
Interactive Lectures including Discussions
Practical Lab Sessions
Self-Study (Project / Reading Materials / Online Material / Presentations)
Case Studies

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Decisions Support Systems

Course Assessment :

Methods of assessment Relative weight % Week No. Assess What
Assignments 10.00 4
Final Exam 40.00 14
Midterm Exam (s) 20.00 9
Practical Exam 15.00 10
Presentations 5.00 12
Quizzes 10.00 5

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Decisions Support Systems

Books:

Book Author Publisher

Course notes :

An Electronic form of the Course Notes and all the slides of the Lectures is available on the Students Learning Management System (Moodle)

Web Sites :

www.ekb.eg

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