Information
Course Goal / Objective
To teach common methodology and solution procedure of modeling and decision making concept in operations research and to find management politics and activities using these information.
Course Content
Problem modelling, linear programming, using graphical methods to solve problems, Simplex method, assignment problems, transportation problems and solving these with a solver and interpreting the results.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Student gains the ability of model formulation and decision making approach. |
| LO02 | Student knows optimization concept. |
| LO03 | Student gains knowledge on linear models and linear programming. |
| LO04 | Student gains the ability of formulating Linear Models of real-life problems and finding optimal solutions. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | List and define the concepts of business management, and explain their relations to each other | 5 |
| PLO02 | - | List and define the fundamental conceptual models, numerical and statistical techniques of business administartion and identify their advantages and disadvantages. | 2 |
| PLO03 | - | List and define the relationship between the basic concepts of economy and business management ; indicate the strong and weak sides of each method. | 3 |
| PLO04 | - | Explain how to create the fundamental conceptual models and how to apply numerical and statistical techniques that are used in business administration. | 1 |
| PLO05 | - | Explain how to interpret the results gathered through the application and/or implementation of conceptual models and/or numerical and statistical methods of business management. | 4 |
| PLO06 | - | Determine appropriate methods to solve business problems | 4 |
| PLO07 | - | Evaluate the results that are obtained from applications of business management methods | 5 |
| PLO08 | - | Use the basic numerical and statistical softwares | 5 |
| PLO09 | - | Use the basic enterprise resource planning (ERP) softwares | 3 |
| PLO10 | - | Take initiative individually or/and as a member of a team, lead and work effectively | 2 |
| PLO11 | - | As well as professional development, improve him-/herself continuously in scientific, social, cultural and artistic fields according to his/her interests and abilities, identifying needs of learning. | 3 |
| PLO12 | - | Follow latest developments in the field, and sustain personal and professional development with the awareness of the necessity of life long learning | 2 |
| PLO13 | - | Use different resources in accordance with academic principles, synthesize the data gathered, and present them effectively in an unfamiliar field. | 2 |
| PLO14 | - | Use Turkish and at least one foreign language in accordance with the requirements in academic and business context | 4 |
| PLO15 | - | Perceive and interpret the feelings, ideas and behaviours of people appropriately, and express himself/herself accurately in written or oral format | 2 |
| PLO16 | - | Question traditional approaches, methods and implementations; develop and implement alternative methods when required | 2 |
| PLO17 | - | Recognize and apply social, scientific and professional ethical values. | 2 |
| PLO18 | - | Determine the most appropriate approaches, implementations and methods of business management considering sectors, their sizes, resources, cultures, goals and objectives | 3 |
| PLO19 | - | Monitor external factors such as industrial structures, competition, technologies, economics, politics, cultures that affects the activities of businesses and interpret their impact on businesses | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to Numerical Methods | Lecture Notes Ch 1 | |
| 2 | Linear Programming, Formulating Linear Programming Models | Lecture Notes Ch 2 | |
| 3 | Graphical Solution Method | Lecture Notes Ch 3 | |
| 4 | Special Problems in Constructing Lines at graphical solution procedure | Lecture Notes Ch 4 | |
| 5 | Simplex Method | Lecture Notes Ch 5 | |
| 6 | Simplex Method | Lecture Notes Ch 6 | |
| 7 | The M- Technique | Lecture Notes Ch 7 | |
| 8 | Mid-Term Exam | - | |
| 9 | Duality and Sensitivity Analysis in Linear Programming | Lecture Notes Ch 8 | |
| 10 | Assignment Problems | Lecture Notes Ch 9 | |
| 11 | Transportation Problems | Lecture Notes Ch 10 | |
| 12 | Integer Linear Programming | Lecture Notes Ch 11 | |
| 13 | Integer Linear Programming | Lecture Notes Ch 12 | |
| 14 | Network Analysis | Lecture Notes Ch 13 | |
| 15 | Goal Programming | Lecture Notes Ch 14 | |
| 16 | Term Exams | - | |
| 17 | Term Exams | - |