| TYPE OF COURSE UNIT | Compulsory Course |
| LEVEL OF COURSE UNIT | Master's Degree With Thesis |
| YEAR OF STUDY | 1 |
| SEMESTER | Second Term (Spring) |
| NUMBER OF ECTS CREDITS ALLOCATED | 10 |
| NAME OF LECTURER(S) | Professor İsmail Erol
Professor Zeliha Eser
|
| LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students;
1) Develop skills for analyzing and interpreting the results of the computer output in order to recommend appropriate courses of action.
2) At the end of this course the student will demonstrate the ability to approach different kinds of decision making situations analytically and interpret the results obtained by various quantitative techniques.
3) Learn, through case studies, the applications of Management Science to find solutions to real life business problems including those in global environment
4) Develop analytical skills in structuring and analysis (scientific method) of business decision problems which characterize the field of Management Science.
5) Develop the infrastructure necessary to distinguish the best model appropriate for a specific decision making situation and develop skills for formulating mathematical models of real life business problems.
|
| MODE OF DELIVERY | Face to face |
| PRE-REQUISITES OF THE COURSE | No |
| RECOMMENDED OPTIONAL PROGRAMME COMPONENT | None |
| COURSE DEFINITION | In this course, it is planning to stay on topics such as mathematical modelling of marketing problems. Solution methods related with product, price, place and promotion problems will be examined. |
| COURSE CONTENTS | | WEEK | TOPICS |
|---|
| 1st Week | Linear Programming: Model Formulation | | 2nd Week | Linear Programming: Graphical Solution | | 3rd Week | Linear Programming:Sensitivity Analysis of Objective Function Values | | 4th Week | Linear Programming Computer Applications | | 5th Week | Transportation Problem | | 6th Week | Assignment Problem | | 7th Week | Integer Linear Programming | | 8th Week | Midterm Exam | | 9th Week | Decision Analysis | | 10th Week | Network Modeling | | 11th Week | Project Management | | 12th Week | Queueing Modeling | | 13th Week | Simulation | | 14th Week | Computer Applications of Queueing Theory and Simulation |
|
| RECOMENDED OR REQUIRED READING | Anderson, D. R., D. J. Sweeney ve T. W. Williams. 2000. In Introduction to Management Science: Quantitative Approaches to Decision Making. South Western Collage Publishing. |
| PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Problem Solving,Lecture |
| ASSESSMENT METHODS AND CRITERIA | | | Quantity | Percentage(%) |
|---|
| Mid-term | 1 | 40 | | Total(%) | | 40 | | Contribution of In-term Studies to Overall Grade(%) | | 40 | | Contribution of Final Examination to Overall Grade(%) | | 60 | | Total(%) | | 100 |
|
| ECTS WORKLOAD |
| Activities |
Number |
Hours |
Workload |
| Midterm exam | 1 | 3 | 3 | | Preparation for Quiz | | | | | Individual or group work | | | | | Preparation for Final exam | 1 | 125 | 125 | | Course hours | 14 | 3 | 42 | | Preparation for Midterm exam | 1 | 125 | 125 | | Laboratory (including preparation) | | | | | Final exam | 1 | 3 | 3 | | Homework | | | | | Total Workload | | | 298 |
|---|
| Total Workload / 30 | | | 9,93 |
|---|
| ECTS Credits of the Course | | | 10 |
|---|
|
| LANGUAGE OF INSTRUCTION | Turkish |
| WORK PLACEMENT(S) | No |
| | |
