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Description of Individual Course UnitsCourse Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | İŞL307B | Operations Research | Compulsory | 3 | 5 | 5 |
| Level of Course Unit | First Cycle | Objectives of the Course | The course aims to give to students to ability of developing operations research models and applying these models to the main areas of business such as production, marketing and finance. | Name of Lecturer(s) | Arş. Gör. Dr. Kübra Akyol Özcan | Learning Outcomes | 1 | Describe various terms about building model in Linear Programming (LP). | 2 | Distinguish various LP techniques. | 3 | Prepare the most appropriate LP model for determined sector (problem). | 4 | Examine the appropriateness of used model to real situation. | 5 | Build a new model removing deficiencies of used LP model. |
| Mode of Delivery | Second Education | Prerequisites and co-requisities | None | Recommended Optional Programme Components | None | Course Contents | Modeling linear programming problems, graphical solution, simplex method, LP applications, duality, primal - dual relationships, economic interpretation of duality, sensitivity analysis, integer programming, goal programming, applications with Lindo packages. | Weekly Detailed Course Contents | |
1 | Course objectives and outlines, The methodology of operations research, The fundamental concepts of linear programming | | | 2 | Definitions, assumptions and general model structure of LP, Formulating the Linear Programming problems | | | 3 | Model building, Characteristics of the LP models, Models of cost, revenue and profit | | | 4 | Solution Methodologies of LP Problems, Graphical solution, Graphical solution procedure for maximization and minimization problems | | | 5 | Special cases of graphical solution, Infeasibility, Unboundedness, Alternative optimal solutions | | | 6 | The simplex algorithm, Setting up the initial simplex tableau, Arranging the optimal solution | | | 7 | Summary of the simplex method, Interpreting the obtained results from the optimal simplex tableau | | | 8 | Special cases of simplex solution method, Degeneracy of the simplex algorithm, Infeasibility Unboundedness, Alternative optimal solutions | | | 9 | Mid-term exam | | | 10 | Duality, Economic Interpretation of the Dual Variables | | | 11 | Sensitivity analysis, Changes in objective functions' coefficients, Changes in right-hand-side values | | | 12 | Introducing softwares for solving LP models (Lindo, Lingo, WinQSB, QM, and Tora) | | | 13 | Integer programming models, Formulating integer programming problems, Solution of the integer programming problems with gomory column generation procedure | | | 14 | Goal programming, Model formulation, Graphical interpretation of goal programming | | | 15 | Review | | | 16 | End-of-term exam | | |
| Recommended or Required Reading | Operations Research: An Introduction, Hamdy Taha, Ninth Ed., Pearson, 2011. Introduction to Operations Research, Frederich S. Hillier, Gerald J. Lieberman, Ninth Ed. McGraw-Hill, 2010 Operations Research, T. L. Winston, PWS Publishing Company, 1997. | Planned Learning Activities and Teaching Methods | | Assessment Methods and Criteria | |
Midterm Examination | 1 | 100 | SUM | 100 | |
Final Examination | 1 | 100 | SUM | 100 | Term (or Year) Learning Activities | 40 | End Of Term (or Year) Learning Activities | 60 | SUM | 100 |
| Language of Instruction | Turkish | Work Placement(s) | None |
| Workload Calculation | |
Midterm Examination | 1 | 1 | 1 | Final Examination | 1 | 2 | 2 | Attending Lectures | 14 | 4 | 56 | Individual Study for Mid term Examination | 1 | 24 | 24 | Individual Study for Final Examination | 1 | 25 | 25 | Homework | 14 | 3 | 42 | |
Contribution of Learning Outcomes to Programme Outcomes | LO1 | 1 | 2 | 1 | 4 | 2 | 3 | 1 | 1 | 3 | 2 | LO2 | 2 | 3 | 4 | 3 | 3 | 1 | 2 | 2 | 1 | 1 | LO3 | 3 | 3 | 1 | 3 | 1 | 3 | 3 | 2 | 4 | 1 | LO4 | 1 | 3 | 2 | 2 | 3 | 4 | 1 | 1 | 3 | 3 | LO5 | 3 | 1 | 3 | 3 | 2 | 2 | 4 | 2 | 2 | 2 |
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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