Quantitative Methods in Marketing(PM545)
| Course Code | Course Name | Semester | Theory | Practice | Lab | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| PM545 | Quantitative Methods in Marketing | 1 | 3 | 0 | 0 | 3 | 7 |
| Prerequisites | |
| Admission Requirements |
| Language of Instruction | Turkish |
| Course Type | Compulsory |
| Course Level | Masters Degree |
| Course Instructor(s) | AHMET FAHRİ NEGÜS afneg5932@gmail.com (Email) |
| Assistant | |
| Objective | Course objective is to give to the student an in-depth presentation of the tools and techniques of management science as applied to real-word problems. The subject matter includes linear programming, sensitivity analysis, distribution models, integer and mixed integer linear programming models. |
| Content |
1) Introduction to operational research and basic concepts. 2)Linear programming, assumptions and formulation of the model. 3) Graphical solution of a linear programming model. 4) Solution of a linear programming model.- Solution of a standard maximization problem using Simplex method. 5) Solution of a linear programming model.- Solution of a standard minimization problem using Simplex method. 6) Solution of a linear programming model with mixed constraints using Simplex method and special cases of a linear programming model by use of computer. 7) Sensitivity analysis. 8) Applications of a linear programming to the management problems. 9) The dual problem. 10) Transportation problem and solving technics – Nord-West corner rule and stepping step method. 11) Transportation problem and solving technics – Modified distribution method and Vogel approximation method (VAM). 12) Transshipment, assignment and solving technics. 13) Travelling salesman problem. |
| Course Learning Outcomes |
At the end of the course, the studient will be able to : 1. Define practical applications and their components of production management and marketting in real-world problems encountered. 2. Develop the mathematical model of the problem. 3. Present a recommendation or initiative that builds a business case by performing an analysis using quantitative methods as linear programming, integer or binary programming. 4. Develop an optimal transportation or distributin plan for transportation, transhipment and allocation of resources problems. 5. Obtain computer aided solutions to the above problems. |
| Teaching and Learning Methods | |
| References |
Dantzig, George Bernard. Linear programming and extensions. Princeton : Princeton University Press. 1998 Darst, Richard B. Introduction to Linear Programming: Applications and extentions. New York : M. Dekker, 1991 Thie, Paul R. An introduction to linear programming and game theory. New York : Wiley, 1988. Timor, Mehpare. Yöneylem Araştırması ve İşletmecilik Uygulamaları, İstanbul : İ.Ü. Basımevi, 2001. Top, Aykut. Üretim Yönetimi, Ankara : Nobel Basımevi, 2006 |
Theory Topics
| Week | Weekly Contents |
|---|---|
| 1 | Introduction to operational research and basic concepts. Linear programming, assumptions and formulation of the model. Graphic solution of a linear programming model. |
| 2 | Solution of a linear programming model.- Solution of a standard maximization problem using Simplex method. |
| 3 | Solution of a linear programming model.- Solution of a standard minimization problem using Simplex method. |
| 4 | Solution of a linear programming model with mixed constraints using Simplex method and special cases. |
| 5 | Solution of a linear programming model by use of a computer. |
| 6 | Sensitivity analysis. |
| 7 | Mid-term exam 1. |
| 8 | Applications of a linear programming to the management problems. |
| 9 | The dual problem. |
| 10 | Transportation problem and solving technics – Nord-West corner rule and stepping step method. |
| 11 | Transportation problem and solving technics – Modified distribution method and Vogel approximation method (VAM). |
| 12 | Mid-term exam 1. |
| 13 | Transshipment, assignment and solving technics. |
| 14 | Travelling salesman problem. |
Practice Topics
| Week | Weekly Contents |
|---|
Contribution to Overall Grade
| Number | Contribution | |
|---|---|---|
| Contribution of in-term studies to overall grade | 2 | 50 |
| Contribution of final exam to overall grade | 1 | 50 |
| Toplam | 3 | 100 |
In-Term Studies
| Number | Contribution | |
|---|---|---|
| Assignments | 0 | 0 |
| Presentation | 0 | 0 |
| Midterm Examinations (including preparation) | 2 | 50 |
| Project | 0 | 0 |
| Laboratory | 0 | 0 |
| Other Applications | 0 | 0 |
| Quiz | 0 | 0 |
| Term Paper/ Project | 0 | 0 |
| Portfolio Study | 0 | 0 |
| Reports | 0 | 0 |
| Learning Diary | 0 | 0 |
| Thesis/ Project | 0 | 0 |
| Seminar | 0 | 0 |
| Other | 0 | 0 |
| Toplam | 2 | 50 |
| No | Program Learning Outcomes | Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Students will be able to use advanced theoretical and practical knowledge which they gained about marketing and related disciplines. | X | ||||
| 2 | In the discipline of the production management and marketing Students will be able to search basic problems with scientific methods, interpret and evaluate the data and create plans. | X | ||||
| 3 | Students will be able to take responsibility and produce solutions as an individual or to be a team member about complex problems which they can come across in business life unpredictably. | X | ||||
| 4 | Students will be able to use market opportunities for companies benefit via research findings. | X | ||||
| 5 | Students will be able to define regional and global subjects which affect the marketing discipline directly or indirectly, develop solutions or strategies which depend on evidence and researches. | |||||
| 6 | Students will be able to detect and evaluate different problems in marketing area and use them in cross discipline studies. | |||||
| 7 | Students will be able to have computer software and usage knowledge which are needed in production management and marketing. | X | ||||
| 8 | Students will be able to define company’s problems via using quantitative decision making techniques and present solutions. | X | ||||
| 9 | Students will be able to have academic thinking skills in production management and marketing. | X | ||||
| 10 | Students will be able to create innovative and pioneer marketing idea. | |||||
| 11 | Students will be able to develop effective supply chain strategies via analyzing the development in logistics. | X | ||||
| 12 | Students will be able to have ethical values in marketing area and take action in the light of those values. | |||||
| Activities | Number | Period | Total Workload |
|---|---|---|---|
| Class Hours | 14 | 3 | 42 |
| Working Hours out of Class | 13 | 6 | 78 |
| Midterm Examinations (including preparation) | 2 | 15 | 30 |
| Final Examinations (including preparation) | 1 | 25 | 25 |
| Total Workload | 175 | ||
| Total Workload / 25 | 7,00 | ||
| Credits ECTS | 7 | ||