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Year/Semester of Study | 1 / Fall Semester | ||||
Level of Course | 3rd Cycle Degree Programme | ||||
Type of Course | Optional | ||||
Department | BUSINESS MANAGEMENT (PHD) | ||||
Pre-requisities and Co-requisites | None | ||||
Mode of Delivery | Face to Face | ||||
Teaching Period | 14 Weeks | ||||
Name of Lecturer | NURİ ÖZGÜR DOĞAN (nodogan@nevsehir.edu.tr) | ||||
Name of Lecturer(s) | NURİ ÖZGÜR DOĞAN, | ||||
Language of Instruction | Turkish | ||||
Work Placement(s) | Staj Yok | ||||
Objectives of the Course | |||||
The objective of this course that can be seen as the advanced form of Operations Research; is to provide the students with the more specifical models and/or methods. |
Learning Outcomes | PO | MME | |
The students who succeeded in this course: | |||
LO-1 | It can evaluate systematically various kinds of decision making methods. |
PO-6 The candidate can discuss the new information in the field of business in a systematic manner, and can gain high level skills about research methods in the field. |
Examination Term Paper |
LO-2 | Fuzzy logic can be discussed. |
PO-6 The candidate can discuss the new information in the field of business in a systematic manner, and can gain high level skills about research methods in the field. |
Examination Term Paper |
LO-3 | Learn about specific methods. |
PO-6 The candidate can discuss the new information in the field of business in a systematic manner, and can gain high level skills about research methods in the field. |
Examination Term Paper |
LO-4 | Can model with simulation. |
PO-6 The candidate can discuss the new information in the field of business in a systematic manner, and can gain high level skills about research methods in the field. |
Examination Term Paper |
PO: Programme Outcomes MME:Method of measurement & Evaluation |
Course Contents | ||
In the context of this course advanced mathematical models, multi-criteria decision making, fuzzy logic, DEA, fuzzy DEA, AHP, fuzzy AHP, game theory, decision making under uncertainty and modelling with simulation will be discussed. | ||
Weekly Course Content | ||
Week | Subject | Learning Activities and Teaching Methods |
1 | Introduction | Lecturing |
2 | Basics of non-linear programming | Lecturing |
3 | Non-linear programming | Lecturing |
4 | Multi-criteria decision making | Lecturing |
5 | Fuzzy logic | Lecturing |
6 | Data envelopment analysis | Lecturing and problem solving method |
7 | Fuzzy data envelopment analysis | Lecturing and problem solving method |
8 | mid-term exam | |
9 | Analytic hierarchy process | Lecturing and problem solving method |
10 | Fuzzy analytic hierarchy process | Lecturing and problem solving method |
11 | Game theory | Lecturing |
12 | Decision making under uncertainty | Lecturing and problem solving method |
13 | Simulation modeling | Lecturing |
14 | Simulation modeling | Lecturing and problem solving method |
15 | Evaluating the projects | Project presentation |
16 | final exam | |
Recommend Course Book / Supplementary Book/Reading | ||
1 | Winston, W. L., Introduction to Mathematical Programming: Applications and Algorithms, 2nd Edition, ITP-Duxbury, 1997. | |
2 | Taha, Hamdy A.; Yoneylem Arastirmasi, (Ceviri: S.A. Baray; S. Esnaf), 6. Baski, Literatur Yayincilik, Istanbul, 2000. | |
3 | Kelton, W.D., Sadowski, R.P., Sturrock, D.T.; Simulation with Arena, 4th Ed., McGraw-Hill, 2007. | |
Required Course instruments and materials | ||
1. Taha, Hamdy A.; Yöneylem Ara?t?rmas?, (Çeviri: ?.A. Baray; ?. Esnaf), 6. Bask?, Literatür Yay?nc?l?k, ?stanbul, 2000. 2. Winston, W. L., Introduction to Mathematical Programming: Applications and Algorithms, 2nd Edition, ITP-Duxbury, 1997. 3. Kelton, W.D., Sadowski, R.P., Sturrock, D.T.; Simulation with Arena, 4th Ed., McGraw-Hill, 2007. |
Assessment Methods | |||
Type of Assessment | Week | Hours | Weight(%) |
mid-term exam | 8 | 2 | |
Other assessment methods | |||
1.Oral Examination | |||
2.Quiz | |||
3.Laboratory exam | |||
4.Presentation | |||
5.Report | |||
6.Workshop | |||
7.Performance Project | |||
8.Term Paper | 15 | 1 | |
9.Project | |||
final exam | 16 | 2 |
Student Work Load | |||
Type of Work | Weekly Hours | Number of Weeks | Work Load |
Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
Outside Class | |||
a) Reading | 5 | 14 | 70 |
b) Search in internet/Library | 2 | 14 | 28 |
c) Performance Project | 0 | ||
d) Prepare a workshop/Presentation/Report | 0 | ||
e) Term paper/Project | 1 | 14 | 14 |
Oral Examination | 0 | ||
Quiz | 0 | ||
Laboratory exam | 0 | ||
Own study for mid-term exam | 2 | 7 | 14 |
mid-term exam | 2 | 1 | 2 |
Own study for final exam | 3 | 7 | 21 |
final exam | 2 | 1 | 2 |
0 | |||
0 | |||
Total work load; | 193 |