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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Operations Research I MEN307 Compulsory Bachelor's degree 3 Fall 5

Name of Lecturer(s)

Prof. Dr. Zerrin ALADAĞ
Assistant Prof. Dr. Atakan ALKAN
Assistant Prof. Dr. Yıldız ŞAHİN

Learning Outcomes of the Course Unit

1) Applying the main principles of operations research.
2) Formulating the mathematical models and modelling in operations research.
3) Forming linear programming.
4) Using the graphical solution techniques.
5) Using the simplex solution techniques.
6) Using sensitivity analysis techniques.
7) Applying the solution techniques for transportation problems.
8) Applying the solution techniques for assignment problems.

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9 10 11
Learning Outcomes
1 High High High No relation High Middle No relation Middle High High Middle
2 High High High No relation High Middle No relation Middle High High Middle
3 High High High No relation High Middle No relation Middle High High Middle
4 High High High No relation High Middle No relation Middle High High Middle
5 High High High No relation High Middle No relation Middle High High Middle
6 High High High No relation High Middle No relation Middle High High Middle
7 High High High No relation High Middle No relation Middle High High Middle
8 High High High No relation High Middle No relation Middle High High Middle

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

None

Course Contents

This course covers the principles of operations research, mathematical models, creating models, linear programming models and solution techniques (The graphical solution, the simplex algorithm and sensitivity analysis, duality, transportation models, assignment models).

Weekly Schedule

1) The principles of operations research
2) Mathematical models
3) Mathematical models
4) Modelling
5) Linear programming models and finding optimal solutions
6) The graphical solution
7) The graphical solutions and sensivity analysis
8) Midterm examination/Assessment
9) The simplex algorithm and sensivity analysis
10) The simplex algorithm and sensivity analysis
11) Duality
12) Primal-duality relations
13) Transportation models
14) Transportation models
15) Assignment models
16) Final examination

Recommended or Required Reading

Planned Learning Activities and Teaching Methods

1) Lecture
2) Discussion
3) Drill and Practice
4) Problem Solving
5) Project Based Learning


Assessment Methods and Criteria

Contribution of Midterm Examination to Course Grade

40%

Contribution of Final Examination to Course Grade

60%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required