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| END3015 | Quantative Decision Making | 3+0+0 | ECTS:5 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of INDUSTRIAL ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Doç. Dr. Gökhan ÖZÇELİK | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Problem configuration correctly, to gain the ability to understand the structure of the decision problem and to choose the appropriate methods,to gain the ability to solve problems wich are affected both the linguistic and quantitative factors. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Ability to obtain, process, model, experiment, analyze and interpret results for the solution of decision problems | 2 | | | LO - 2 : | Ability to work in interdisciplinary teams | 4 | | | LO - 3 : | Ability to identify, define, analyze, model and solve decision problems | 5 | | | 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 | | |
| Decision Making Process, Decision Making Under Uncertainty and Risk, Multi Criteria Decision Making (AHP, ANP, TOPSIS, PROMETHEE), PC Aplications (Super Decision) |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction: Decision making, decision making theory, the neccessity of decision analysis, decision making process, decision making environments | | | Week 2 | Tools for Modeling of Decision Problems: Decision Trees, Impact Diagrams, Decision Matrices | | | Week 3 | Decision making under uncertainty: Maximax (Optimist) decision Making Method, Maximin (Pessimist) Decision Making Method, Minimax Regret Decision Making Method, Balanced Optimist-Pessimist Decision Making Method,Equal Likely Decision Making Method | | | Week 4 | Multi Criteria Decision Making: Analytic Hierarchy Process (AHP) | | | Week 5 | Multi Criteria Decision Making: Analytic Network Process (ANP) | | | Week 6 | Applications with the Super Decision Program | | | Week 7 | Multi Criteria Decision Making: TOPSIS Method | | | Week 8 | Case Studies for AHP, ANP and TOPSIS | | | Week 9 | Midterm | | | Week 10 | Multi Criteria Decision Making: MOORA Method | | | Week 11 | Multi Criteria Decision Making: PROMETHEE Method | | | Week 12 | Multi Criteria Decision Making: PROMETHEE Method | | | Week 13 | Case Studies for MOORA and PROMETHEE | | | Week 14 | Project Presentations | | | Week 15 | Project Presentations | | | Week 16 | Final | | | |
| 1 | Yıldırım, B. F. ve Önder E. 2014; Operasyonel, Yönetsel ve Stratejik Problemlerin Çözümünde Çok Kriterli Karar Verme Yöntemleri, Dora Yayınları, Bursa | | | 2 | Özbek, A. 2017; Çok Kriterli Karar Verme Yöntemleri ve Excel İle Problem Çözümü, Seçkin Yayınları | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 2/12/2020 | 2 | 25 | | End-of-term exam | 16 | 27/01/2021 | 2 | 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 | 5 | 1 | 5 | | Arasınav | 2 | 1 | 2 | | Proje | 20 | 1 | 20 | | Dönem sonu sınavı için hazırlık | 10 | 1 | 10 | | Dönem sonu sınavı | 2 | 1 | 2 | | Total work load | | | 109 |
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