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| ISL3011 | Decision Analysis | 3+0+0 | ECTS:4 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of BUSINESS | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Doç. Dr. Pelin ŞENTÜRK | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The main purpose of this course is to provide a good insight into the use of AHP, TOPSIS, Entropi, GRA, and VIKOR approaches that are multi-criteria decision-making (MCDM) methodologies in the evaluation of production/operations management problems. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | define some theoretical frameworks and definitions about decision theory | 2,3 | 1, | | LO - 2 : | select and specify some decision theory models | 2,3 | 1, | | LO - 3 : | apply the most appropriate model for the decision problem | 2,3 | 1, | | LO - 4 : | solve the decision problem and analyze how to react the real situation | 2,3 | 1, | | LO - 5 : | propose a new model which handle the deficiencies of last one | 2,3 | 1, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Theoretical framework decision analysis methodology, An illustrative example of the decision tree analysis. Solving the AHP problems using the Super decisions software. Theoretical framework of the TOPSIS methodology, An illustrative example of the TOPSIS. Theoretical framework of the Entropi methodology, An illustrative example of the Entropi. Theoretical framework of the Grey Relational Anaysis (GRA) methodology, An illustrative example of the GRA. Theoretical framework of the VIKOR methodology, An illustrative example of the VIKOR.
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Course objectives and outlines | | | Week 2 | Decision theory with incomplete information | | | Week 3 | Decision criteria with the incomplete information | | | Week 4 | Decision criteria with the risk situation | | | Week 5 | Decision criteria with the risk situation | | | Week 6 | Decision tree analysis | | | Week 7 | Analytic Hierarchy Process and Importance of AHS | | | Week 8 | Review | | | Week 9 | Mid-term exam | | | Week 10 | Theoretical framework of AHP methodology | | | Week 11 | Theoretical framework of TOPSIS methodology | | | Week 12 | Theoretical framework of Entropi methodology | | | Week 13 | Theoretical framework of Grey relational analysis (GRA) | | | Week 14 | Theoretical framework of the VIKOR analysis | | | Week 15 | An illustrative examples for the Decision analysis problems | | | Week 16 | Final Exam
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| 1 | Öztürk, A. 2005, Yöneylem Araştırması, Ekin Kitabevi, Bursa. | | | 2 | Ulucan, A. 2004, Yöneylem Araştırması, Siyasal Kitabevi, Ankara. | | | 3 | Winston, W. L. 2004, Operations Research: Applications and Algorithms , Duxbury Press Thomson Learning, Inc., California. | | | 4 | Hillier, F. S. , Lieberman, G. J. 2005, Introduction to Operations Research, McGraw Hill, New York. | | | 5 | Taha, H. A. 2003, Yöneylem Araştırması, Çeviren ve Uyarlayanlar: Baray, Ş.A., Esnaf, Ş. , Literatür Yayıncılık, İstanbul. | | | 6 | Doğan, M. 1985, İşletmelerde Karar Verme Teknikleri, Bilgehan Kitabevi, İzmir. | | | |
| 1 | Saaty, T.L., 1999, Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World, RWS Publications, 323 p. | | | 2 | Tütek, H., Gümüşoğlu, Ş. 2000, Sayısal Yöntemler, Beta Basım Yayım Dağıtım AŞ, İstanbul. | | | 3 | Esin, A. 2003, Yöneylem Araştırmasında Kullanılan Karar Yöntemleri, Gazi Kitabevi, Ankara. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 11/2022 | 1 | 50 | | End-of-term exam | 16 | 01/2023 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 2 | 14 | 28 | | Arasınav için hazırlık | 2 | 7 | 14 | | Arasınav | 1 | 1 | 1 | | Ödev | 3 | 3 | 9 | | Dönem sonu sınavı için hazırlık | 3 | 8 | 24 | | Dönem sonu sınavı | 2 | 1 | 2 | | Total work load | | | 120 |
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