Nevşehir Hacı Bektaş Veli University Course Catalogue
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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) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| 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 advanced mathematical models and optimization methods. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Can assess different types of decision making methods more systematically. |
PO-1 The candidate can understand, analyze and interpret the basic concepts and functions of Business Science in expertise level, and can apply this ability in one or more fields such as Management and Organization, Marketing, Production Management, Quantitative Methods, Accounting and Finance in expertise level. PO-2 The candidate will learn the different perspectives about numerous theories, models and paradigms that have developed in business fields such as management and organization, organizational behavior, marketing, finance, accounting, human resources, production management, quantitative methods, and the candidate can gain knowledge and skills to evaluate, interpret and criticize scientific studies and researches,which are presented in various scientific meetings, in these fields. |
Examination Term Paper |
| LO-2 | Can discuss the non-linear programming. |
PO-1 The candidate can understand, analyze and interpret the basic concepts and functions of Business Science in expertise level, and can apply this ability in one or more fields such as Management and Organization, Marketing, Production Management, Quantitative Methods, Accounting and Finance in expertise level. PO-2 The candidate will learn the different perspectives about numerous theories, models and paradigms that have developed in business fields such as management and organization, organizational behavior, marketing, finance, accounting, human resources, production management, quantitative methods, and the candidate can gain knowledge and skills to evaluate, interpret and criticize scientific studies and researches,which are presented in various scientific meetings, in these fields. |
Examination Term Paper |
| LO-3 | Can recognize heuristic methods. |
PO-1 The candidate can understand, analyze and interpret the basic concepts and functions of Business Science in expertise level, and can apply this ability in one or more fields such as Management and Organization, Marketing, Production Management, Quantitative Methods, Accounting and Finance in expertise level. PO-2 The candidate will learn the different perspectives about numerous theories, models and paradigms that have developed in business fields such as management and organization, organizational behavior, marketing, finance, accounting, human resources, production management, quantitative methods, and the candidate can gain knowledge and skills to evaluate, interpret and criticize scientific studies and researches,which are presented in various scientific meetings, in these fields. |
Examination Term Paper |
| LO-4 | Can define artificial intelligence algorithms. |
PO-1 The candidate can understand, analyze and interpret the basic concepts and functions of Business Science in expertise level, and can apply this ability in one or more fields such as Management and Organization, Marketing, Production Management, Quantitative Methods, Accounting and Finance in expertise level. PO-2 The candidate will learn the different perspectives about numerous theories, models and paradigms that have developed in business fields such as management and organization, organizational behavior, marketing, finance, accounting, human resources, production management, quantitative methods, and the candidate can gain knowledge and skills to evaluate, interpret and criticize scientific studies and researches,which are presented in various scientific meetings, in these fields. |
Examination Term Paper |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| In the context of this course basics of non-linear programming, Kuhn-Tucker conditions, the geometric interpretation of Kuhn-Tucker conditions, Kuhn-Tucker conditions and improving directions, solution via Kuhn-Tucker conditions, improving searching method, separable programming, genetic algorithm and simulated annealing 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 | Kuhn-Tucker Conditions | Lecturing |
| 5 | The geometric interpretation of Kuhn-Tucker conditions | Lecturing |
| 6 | Kuhn-Tucker conditions and improving directions | Lecturing |
| 7 | Solution via Kuhn-Tucker conditions | Lecturing and Problem Solving Method |
| 8 | mid-term exam | |
| 9 | Solution via Kuhn-Tucker conditions | Lecturing and Problem Solving Method |
| 10 | Improving searching method | Lecturing |
| 11 | Separable programming | Lecturing |
| 12 | Separable programming | Lecturing and Problem Solving Method |
| 13 | Genetic algorithm | Lecturing |
| 14 | Simulated annealing | Lecturing |
| 15 | Evaluating the projects | Project Presentation |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Bazaraa, Mokhtar S.; Nonlinear Programming: Theory and Algorithms, 1. Baskı, John Wiley and Sons, New York, 1979. | |
| 2 | Taha, Hamdy A.; Yoneylem Arastirmasi, (Ceviri: S.A. Baray; S. Esnaf), 6. Baski, Literatur Yayincilik, Istanbul, 2000. | |
| 3 | Hillier, F. S., G. J. Lieberman; Introduction to Mathematical Programming, McGraw Hill, New York, 1995. | |
| 4 | Dantzig, G. (2016). Linear programming and extensions. Princeton university press. | |
| Required Course instruments and materials | ||
| 1. Taha, Hamdy A.; Yoneylem Arastirmasi, (Ceviri: S.A. Baray; S. Esnaf), 6. Baski, Literatur Yayincilik, Istanbul, 2000. 2. Bazaraa, Mokhtar S.; Nonlinear Programming: Theory and Algorithms, 1. Bask?, John Wiley and Sons, New York, 1979. 3. Hillier, F. S., G. J. Lieberman; Introduction to Mathematical Programming, McGraw Hill, New York, 1995. 4. Winston, W. L., Introduction to Mathematical Programming: Applications and Algorithms, 2nd Edition, ITP-Duxbury, 1997. Dantzig, G. (2016). Linear programming and extensions. Princeton university press. | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 8 | 2 | 30 |
| 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 | 10 |
| 9.Project | |||
| final exam | 16 | 2 | 60 |
| 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 | ||