Learning Outcomes |
PO |
MME |
The students who succeeded in this course: |
|
|
LO-1 |
Be able to solve different models except LP models. |
PO-13 It helps the students model their decision-making problem about life using the linear programming techniques, solve the simplex and transportation problems and interpret the outcomes in terms of technical and economical.
|
Examination |
LO-2 |
Be able to appraise different types of decision making methods more systematically. |
PO-13 It helps the students model their decision-making problem about life using the linear programming techniques, solve the simplex and transportation problems and interpret the outcomes in terms of technical and economical.
|
Examination |
LO-3 |
Be able to compare the relationship between operations research and decision making problems from the real world. |
PO-13 It helps the students model their decision-making problem about life using the linear programming techniques, solve the simplex and transportation problems and interpret the outcomes in terms of technical and economical.
|
Examination |
LO-4 |
Be able to solve the multi-criteria decision making problems. |
PO-13 It helps the students model their decision-making problem about life using the linear programming techniques, solve the simplex and transportation problems and interpret the outcomes in terms of technical and economical.
|
Examination |
PO: Programme Outcomes MME:Method of measurement & Evaluation |
Course Contents |
In the context of this course integer programming, goal programming, network models, simulation, deterministic dynamic programming, non-linear programming, and multi-criteria decision making methods will be discussed. |
Weekly Course Content |
Week |
Subject |
Learning Activities and Teaching Methods |
1 |
Integer programming |
Lecturing |
2 |
Integer programming |
Lecturing and Problem solving method |
3 |
Goal programming |
Lecturing |
4 |
Goal programming |
Lecturing and Problem solving method |
5 |
Network models |
Lecturing |
6 |
Network models |
Lecturing and Problem solving method |
7 |
Simulation |
Lecturing |
8 |
mid-term exam |
|
9 |
Simulation |
Lecturing |
10 |
Deterministic dynamic programming |
Lecturing |
11 |
Deterministic dynamic programming |
Lecturing |
12 |
Non-linear programming |
Lecturing |
13 |
Multi-criteria decision making methods |
Lecturing |
14 |
Multi-criteria decision making methods |
Lecturing and Problem solving method |
15 |
Decision making problems: Case studies |
Lecturing and Problem solving method |
16 |
final exam |
|
Recommend Course Book / Supplementary Book/Reading |
1 |
Taha, Hamdy A.; Yöneylem Araştırması, (Çeviri: Ş.A. Baray; Ş. Esnaf), 6. Baskı, Literatür Yayıncılık, İstanbul, 2000. |
Required Course instruments and materials |
1. Taha, Hamdy A.; Yoneylem Arastirmasi, (Ceviri: S.A. Baray; S. Esnaf), 6. Baski, Literatur Yayincilik, Istanbul, 2000. (Main Text Book).
2. Ozturk, Ahmet; Yoneylem Arastirmasina Giris, 1. Baski, Ekin Yayinevi, Bursa, 2011.
3. Ozguven, Cemal; Dogrusal Programlama ve Uzantilari, 1. Baski, Detay Yayincilik, Ankara, 2003.
4. Sezen, Hayrettin Kemal; Yoneylem Arastirmasi, 2. Baski, Ekin Yayinevi, 2007.
5. Hillier, F. S., G. J. Lieberman; Introduction to Operations Research, 7th Edition, McGraw Hill, New York, 2001. |