Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | YÖN403 | Decision Support System in Business | Compulsory | 4 | 7 | 5 |
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Level of Course Unit |
First Cycle |
Objectives of the Course |
After general introduction to information systems, it is aimed to build a Decision Support System (KDS) that helps them to understand the management information system and to make use of information technology and solution models while giving decision makers semi-structural and non-structural decisions. |
Name of Lecturer(s) |
Yrd. Doç. Dr. Bora GÖKTAŞ |
Learning Outcomes |
1 | Student learns decision support systems. | 2 | Decision making in uncertainty environment, Pert-Cpm, Markov analysis, non-linear programming and simulation techniques are used. | 3 | Digitize business problems and choose the best among alternatives. | 4 | Will be able to model management problems and make solutions using computer. | 5 | Understands the role of quantitative decision techniques in business decisions. |
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Mode of Delivery |
Second Education |
Prerequisites and co-requisities |
None |
Recommended Optional Programme Components |
None |
Course Contents |
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Weekly Detailed Course Contents |
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1 | Data - information - decision theories and features | | | 2 | Types of Decision Support System | | | 3 | Decision Analysis | | | 4 | Information systems | | | 5 | Information systems | | | 6 | Decision support system concept | | | 7 | Decision support system components | | | 8 | Data and model method (Midterm exam) | | | 9 | Data and model method | | | 10 | Dialogue (user interface) management | | | 11 | Dialogue (user interface) management | | | 12 | Data-centric DSS | | | 13 | Data-centric DSS | | | 14 | Intelligent Decision Support Systems | | | 15 | Intelligent Decision Support Systems (FINAL EXAM) | | |
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Recommended or Required Reading |
* Turban, E. ve Aranson, J.E., Liang, T.P., , Decision Support Systems and Intelligent Systems, Prentice-Hall
* Yarman, S.B. ve Ünal A.N. (2015). Stratejik Karar Verme Boyutunda Bilgi Toplama/İşleme Amaçlı Karar Destek Sistemleri, Nobel Akademik Yayıncılık |
Planned Learning Activities and Teaching Methods |
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Assessment Methods and Criteria | |
Midterm Examination | 1 | 80 | Homework | 1 | 20 | SUM | 100 | |
Final Examination | 1 | 100 | SUM | 100 | Term (or Year) Learning Activities | 40 | End Of Term (or Year) Learning Activities | 60 | SUM | 100 |
| Language of Instruction | Turkish | Work Placement(s) | None |
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Workload Calculation |
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Midterm Examination | 1 | 1 | 1 |
Final Examination | 1 | 2 | 2 |
Attending Lectures | 14 | 3 | 42 |
Question-Answer | 14 | 3 | 42 |
Self Study | 14 | 3 | 42 |
Individual Study for Mid term Examination | 1 | 8 | 8 |
Individual Study for Final Examination | 1 | 10 | 10 |
Homework | 1 | 8 | 8 |
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Contribution of Learning Outcomes to Programme Outcomes |
LO1 | | 5 | | | | 5 | LO2 | 4 | | | | | | LO3 | | | | | 4 | | LO4 | | | | | | | LO5 | | | 5 | 4 | | |
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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