URBAN SYSTEMS AND TRANSPORTATION MANAGEMENT (TURKISH, NON-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 Fall
Spring
3 0 3 12
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: Tr
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Instructor ÖZLEM KANGA
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 Outputs

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: 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
Attendance 0 % 0
Laboratory 0 % 0
Application 0 % 0
Field Work 0 % 0
Special Course Internship (Work Placement) 0 % 0
Quizzes 0 % 0
Homework Assignments 0 % 0
Presentation 0 % 0
Project 1 % 30
Seminar 0 % 0
Midterms 1 % 30
Preliminary Jury 0 % 0
Final 1 % 40
Paper Submission 0 % 0
Jury 0 % 0
Bütünleme % 0
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
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 15 10 150
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0
Midterms 1 2 2
Paper Submission 0
Jury 0
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.
2) Having detailed information about current technics, methods and their constraints in transportation engineering.
3) Having awareness about innovations and developments in profession, investigating and learning necessary informations about these
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