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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS YBS 3015 DECISION SUPPORT SYSTEMS COMPULSORY 3 0 0 4

Offered By

Management Information Systems

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR VAHAP TECIM

Offered to

Management Information Systems

Course Objective

The course aims to manage data obtained from various data sources, analyze and use these data in decision-making. This course covers organization, representation and analysis of data, evaluation and benefits of data process for decision-making problem.

Learning Outcomes of the Course Unit

1   Contributing to the solution of a problem with using decision-making methods. 2   Demonstrate the assessment criteria for decision support systems. 3   Developing alternative decisions. 4   Reporting obtained results for presenting to decision makers.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 1.Overview of Decision Support Systems 2 2.Rational Decision Making and Concept of Decision Making 3 3.Decision Support Systems Components: Data 4 4.Decision Support Systems Components: Model 5 5.Decision Support Systems Components: User Interface 6 6.Decision Support Systems Standards 7 7.Designing a Decision Support System 8 8.Decision Support System Applications in Sectors I 9 9.Decision Support System Applications in Sectors II 10 10.Advantages of Decision Support Systems 11 11.Object-Oriented Technologies and Decision Support System Design 12 12.Developing a Decision Support System 13 13.Management of Information and Control Panel 14 14.Decision Support System Management

Recomended or Required Reading

Main Textbook: Sauter V. L. (2011). Decision Support Systems for Business Intelligence. Wiley. Power D. (2009). Decision Support Basics. Business Expert Press. Help book: Taylor J. (2011). Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics. IBM Press.

Planned Learning Activities and Teaching Methods

Activities are given in detail in the Assessment Methods and Total Workload sections.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 STT TERM WORK (SEMESTER) 2 MTE MIDTERM EXAM 3 MTEG MIDTERM GRADE STT * 0.50 +MTE * 0.50 4 FIN FINAL EXAM 5 FCG FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 6 RST RESIT 7 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 3 36 Preparations before/after weekly lectures 12 5 60 Final 1 1 1 Midterm 1 1 1 TOTAL WORKLOAD (hours) 98

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 LO.1 5 5 5 5 5 5 5 5 5 5 LO.2 5 5 5 5 5 5 5 5 5 5 LO.3 5 5 5 5 5 5 5 5 5 5 LO.4 5 5 5 5 5 5 5 5 5 5 5 5