| Teaching Staff
|
Prof. Dr. Cenap ERDEMİR |
| Language of Instruction |
Türkçe (Turkish) |
| Type Of Course |
Compulsory |
| Prerequisites |
MAT 101
MAT 102
IST 201 IST 202 veya YBS209 |
| Recommended Optional Programme Component |
|
| Course Objectives |
The aim of this course is to learn student to use quantitative methods and techniques for decision making. mathematical model formulation and applications |
| Course Content |
1. Integer programming. Terminology, branch and bound algorithm, integer programming when the all variables are integer.
2. 0-1 integer programming
3. Some integer programming exercises.
4. Nonlinear programming: Markowitz portfolio selection problem
5. Nonlilear programming : Economic order quantity problem, position determination problem.
6. Projecet management: Critical Path Method (CPM)
7. Project management: Program Evaluation and Review Technique (PERT)
8. Midterm exem
9. Decision analysis: Decision making under uncertainaty and risk.
10. Decision trees and multistage decision making
11. Queuing theory: Components of queuing system. M/M/1 model.
12. Stock management:Economic order quantity model
13. Modelling with simulation
14. General overview and exercises. |
| Learning Outcomes (LO) |
The students who attended the course and were successful at the end of semester will acquire the followings; 1- Understanding the characteristic of different types of -making environmental the appropriate decision making approaches and tools to be used in each type. 2- Building and solving appropriate mathematical models. 3- Implement computer software to solve mathematical models.
|
| Mode of Delivery |
Face to face |
| Course Outline |
| Week |
Topics |
| 1. Week |
Nonlinear programming |
| 2. Week |
Nonlinear programming applications |
| 3. Week |
Project management, CPM |
| 4. Week |
Project management, PERT |
| 5. Week |
Analytic hierarchy process |
| 6. Week |
Decision making under uncertainty |
| 7. Week |
Game theory |
| 8. Week |
Midterm exam |
| 9. Week |
Goal programming |
| 10. Week |
Deterministic inventory models |
| 11. Week |
Probabilistic inventory models |
| 12. Week |
Queuing theory |
| 13. Week |
Queuing theory |
| 14. Week |
Simulation |
|
| Assessment |
| |
Percentage(%) |
| Mid-term (%) |
40 |
| Quizes (%) |
|
| Homeworks/Term papers (%) |
|
| Practice (%) |
|
| Labs (%) |
|
| Projects/Field Work (%) |
|
| Seminars/Workshops (%) |
|
| Final (%) |
60 |
| Other (%) |
|
| Total(%) |
100 |
|
| Course Book (s) and/or References |
1. Ulucan, Aydın, 2007, Yöneylem Araştırması, İşletmecilik Uygulamalı Bilgisayar Destekli Modelleme, Siyasal Kitapevi Yayınevi, 2007.
2. Taha, H., 2010, Yöneylem Araştırması; 6. Basımdan Çeviri , Literatür Yayıncılık, İstanbul.
3. Winston, W. L., 2003, Operational Research Applications and Algorithms.
4. Hillier, F.S., Lieberman G.J., 2004, Introduction to Operational Research, McGraw-Hill.
|
| Work Placement(s) |
|
| The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
| PQ1 | PQ2 | PQ3 | PQ4 | PQ5 | PQ6 | PQ7 | PQ8 | PQ9 | PQ10 | PQ11 | PQ12 | PQ13 | PQ14 | LO1 | 5 | 5 | | 3 | | | 5 | | | 2 | | | 3 | | LO2 | | 5 | | 3 | | | 3 | | | 2 | 1 | | | | LO3 | | 5 | | 5 | | | | | | 2 | | | 5 | |
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |