Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 1 / Spring 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, Statistics and Mathematical Analysis; is to provide the students with the stochastic processes and models. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Be able to explain the events that have randomness. |
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 | Be able to explain the basic concepts concerning stochastic processes and models. |
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 | Be able to use the stochastic models. |
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 | Be able to explain the basic concepts concerning Markov Chains. |
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-5 | Be able to explain the basic concepts concerning Queueing Theory. |
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-6 | Be able to explain the basic concepts concerning Simulation. |
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 probability such as sample space, events, conditional probability, independent events, discrete and continuous random variables, expected value, stochastic models, Markov chains, Markov processes, Queueing models, stochastic processes in reliability theory, simulation and time series analysis will be discussed. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Introduction | Lecturing |
| 2 | Basics of Probability | Lecturing |
| 3 | Discrete and Continuous Random Variables | Lecturing |
| 4 | Stochastic Models | Lecturing |
| 5 | Stochastic Models | Lecturing |
| 6 | Markov Chains | Lecturing |
| 7 | Markov Chains: Chapman-Kolmogorov Equations | Lecturing and Problem Solving Method |
| 8 | mid-term exam | |
| 9 | Classification of States of a Markov Chain | Lecturing and Problem Solving Method |
| 10 | Queueing Theory: Basic Structure of Queueing Models | Lecturing |
| 11 | Queueing Theory: The Birth and Death Process | Lecturing |
| 12 | Queueing Theory: Applications | Lecturing and Problem Solving Method |
| 13 | Simulation | Lecturing |
| 14 | Simulation | 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 | Brucker, Peter; Scheduling Algorithms, 5th edition, Springer, 2007. | |
| Required Course instruments and materials | ||
| 1. Hillier, F. S., G. J. Lieberman; Introduction to Mathematical Programming, McGraw Hill, New York, 1995. 2. Taha, Hamdy A.; Yoneylem Arastirmasi, (Ceviri: S.A. Baray; S. Esnaf), 6. Baski, Literatur Yayincilik, Istanbul, 2000. 3. Pinedo, Michael L; Scheduling, 3rd edition, Springer, 2008. 4. Hillier, F. S., G. J. Lieberman; Introduction to Operations Research, 7th edition, McGraw Hill, 2001. 5. Ross, S.; Stochastic Processes, 2nd edition, Wiley , New York, 1995. | ||
| 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 | ||