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| ISLL5365 | Applications with MCDM - I | 3+0+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | DEPARTMENT of BUSINESS ADMINISTRATION | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Doç. Dr. Pelin ŞENTÜRK | | Co-Lecturer | | | Language of instruction | | | Professional practise ( internship ) | None | | | | The aim of the course: | | The aim is to use Entropy, SWARA, MultiMoora, Gray Relational Analysis methods, which are multi-criteria decision-making techniques, in solving Operations Research problems. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | They can define multi-criteria decision making techniques.
| 2,3,5,7 | 1,5, | | PO - 2 : | They can apply analytical decision-making techniques in real-life problems.
| 2,3,5,7 | 1,5, | | PO - 3 : | They can apply decision models in areas of business such as production, finance and marketing.
| 2,3,5,7 | 1,5, | | PO - 4 : | They can master the English literature of multi-criteria decision-making techniques. | 2,3,5,7 | 1,5, | | 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), PO : Learning Outcome | | |
| After learning the theoretical background of Entropy, SWARA, MultiMoora, Gray Relational Analysis methods, their solutions in real life problems will be investigated. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Course and Content introduction
| | | Week 2 | Theoretical Framework of the Entropy Method
| | | Week 3 | Entropy Method Application Solution
| | | Week 4 | Entropy Method Application Solution
| | | Week 5 | Theoretical Framework of SWARA Method
| | | Week 6 | SWARA Method Application Solution
| | | Week 7 | SWARA Method Application Solution
| | | Week 8 | Theoretical Framework of the MultiMoora Method
| | | Week 9 | Midterm Exam
| | | Week 10 | MultiMoora Application Solution
| | | Week 11 | MultiMoora Application Solution
| | | Week 12 | Theoretical Framework of Gray Relational Analysis Method
| | | Week 13 | Application Solution of Gray Relational Analysis Method
| | | Week 14 | Application Solution of Gray Relational Analysis Method
| | | Week 15 | Hybrid solution of learned topics
| | | Week 16 | Final Exam
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| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 1 | 30 | | In-term studies (second mid-term exam) | 12 | | 1 | 20 | | End-of-term exam | 16 | | 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 | 3 | 14 | 42 | | Arasınav için hazırlık | 4 | 8 | 32 | | Arasınav | 1 | 1 | 1 | | Ödev | 3 | 14 | 42 | | Kısa sınav | 3 | 2 | 6 | | Dönem sonu sınavı için hazırlık | 3 | 5 | 15 | | Dönem sonu sınavı | 2 | 1 | 2 | | Diğer 1 | 2 | 10 | 20 | | Total work load | | | 202 |
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