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TR

DECISION SUPPORT SYSTEMS

Course
MISY553 - DECISION SUPPORT SYSTEMS
Department
Master of Management Information Systems - English - Master
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
8
T+P+L
3 + 0 + 0
Course Coordinator(s)
-
Prerequisite
-
Keywords

Course Description

This course provides an in-depth study of Decision Support Systems (DSS) and their role in enhancing managerial decision-making. It explores the fundamental components of DSS, including mathematical models, databases, and user interfaces, and demonstrates how they support semi-structured problem-solving in business contexts. Students will learn methods of decision-making, reasoning, and inferencing, along with the application of operations research tools and optimization techniques. The course also introduces expert systems, knowledge acquisition, and model manipulation as part of DSS development. Through hands-on projects and practical case studies, students will design and implement DSS solutions, gaining both technical and managerial perspectives on improving organizational decision-making.

DECISION SUPPORT SYSTEMS

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

  1. 01 The student should be able to identify the main concepts of decision support systems (DSS)
  2. 02 The student should be able to recognize the components of DSS and the main participants in the decision-making process
  3. 03 To be able to identify the the various models and their analysis
  4. 04 To be able to develop DSS and its life cycle
  5. 05 To recognize the role of intelligent systems in DSS

Course Syllabus

Week Topic
Week 1 Introduction to decision support systems and management support systems
Week 2 Decision-making systems, modeling, and support
Week 3 Decision support systems: an overview
Week 4 Modeling and analysis
Week 5 Decision support system development
Week 6 Group support systems
Week 7 Artificial Intelligence and expert systems
Week 8 Knowledge acquisition representation and reasoning
Week 9 Advanced Intelligent systems
Week 10 Enterprise Information systems
Week 11 Knowledge management
Week 12 Project presentation
Week 13 Project presentation
Week 14 Project presentation
Week 15 Project presentation

Reference Books & Course Materials

  1. 01 George M. Markas, 2011, "Decision support systems in the 21st century", 2nd edition, Pearson education

Learning Outcomes

  1. L01 The student should be able to identify the main concepts of decision support systems (DSS)
  2. L02 The student should be able to recognize the components of DSS and the main participants in the decision-making process
  3. L03 To be able to identify the the various models and their analysis
  4. L04 To be able to develop DSS and its life cycle
  5. L05 To recognize the role of intelligent systems in DSS

Program Outcomes

No program outcomes have been defined.

Po-Lo Matrix

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