BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| URBAN SYSTEMS AND TRANSPORTATION MANAGEMENT (TURKISH, THESIS) | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ISM5490 | Operations Research | Spring | 3 | 0 | 3 | 12 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Basic information
| Language of instruction: | Turkish |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Instructor ÖZLEM KANGA |
| Recommended Optional Program Components: | N.A. |
| Course Objectives: | To introduce students the main concepts of operations research by modeling real-world problems and solving them with computational techniques. Students are expected to achieve the following objectives. Understand common and important business problems Develop the skills to model a problem as a linear programming problem Learn problem solution techniques such as graphical solution approach and simplex algorithm Model transportation problems and solve them using specialized optimization algorithms Learn how to make business decisions from the point of view of optimization |
Learning Outcomes
|
The students who have succeeded in this course; Define and explain the concepts of operations research by modeling business problems as Linear Programming (LP) problems Explain the mathematical analysis of the theory of LPs Solve LPs by Simplex method Understand the logic behind the steps in the Simplex method Solve LPs using solver (software) and conduct sensitivity analysis Formulate and solve the transportation and assignment problems Built integer programming models Built Goal programming models |
Course Content
| Introduction to Operations research LP modeling and graphical solution Selected LP applications Simplex method LINDO solver and Sensitivity Analysis Transportation model and its variants Integer programming Models Goal Programming Models |
Weekly Detailed Course Contents
| Week | Subject | Related Preparation |
| 1) | Introduction to OR | |
| 2) | LP modeling and graphical solution | |
| 3) | Selected LP applications | |
| 4) | Selected LP applications | |
| 5) | Simplex method | |
| 6) | LINDO solver and Sensitivity Analysis | |
| 7) | Problem session | |
| 8) | Midterm exam | |
| 9) | Transportation model and it variants | |
| 10) | Integer programming models | |
| 11) | Integer programming models | |
| 12) | Goal Programming Models | |
| 13) | Goal Programming Models | |
| 14) | Problem session |
Sources
| Course Notes / Textbooks: | Hamdy A. Taha (2007) Yöneylem Araştırması 6. Basımdan Çeviri, Literetür Yayınları |
| References: | Hamdy A. Taha (2011) Operations Research, 9th Ed. Pearson |
Evaluation System
| Semester Requirements | Number of Activities | Level of Contribution |
| Project | 1 | % 30 |
| Midterms | 1 | % 30 |
| Final | 1 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 30 | |
| PERCENTAGE OF FINAL WORK | % 70 | |
| Total | % 100 | |
ECTS / Workload Table
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Study Hours Out of Class | 15 | 10 | 150 |
| Midterms | 1 | 2 | 2 |
| Final | 1 | 2 | 2 |
| Total Workload | 196 | ||
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Improving and enhancing information in expertise level on the concept of transportation licence level abilities in terms of transportation department and related departments. | 5 |
| 2) | Having detailed information about current technics, methods and their constraints in transportation engineering. | 4 |
| 3) | Estabilishing engineering problems, improving methods for solution, implementing new methods in solutions | 4 |
| 4) | Completing and implementing information with limited datas, integrating informations of different discipline datas | |
| 5) | Estabilishing engineering problems, improving methods for solution, implementing new methods in solutions | |
| 6) | New/origin idea and method implementing, improving new solutions in system, part and process designs. | |
| 7) | Understanding process and results of studies, presenting the datas oral and written in related department on national and international scales, understanding a foreign language, having speaking, writing and reading level at least Europan Language Portfolio B2. | |
| 8) | Understanding social and environmental phases of technological implementations. Listing ability of current technics, methods, effects, constraints and results of technological implementations. | |
| 9) | Considering social-scientific-ethic values in collecting-understanding-implementing-presenting phases and all activities. | |
| 10) | Having information detailed and deeply by implemented researching in technology, evaluating and implementing of information | |
| 11) | Developing method for defined technological problems and implementing innovative methods in solutions. | |
| 12) | Modelling and implementing of experimental investigations, solving of complex cases in this process |