Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 3 / Fall Semester | ||||
| Level of Course | 1st Cycle Degree Programme | ||||
| Type of Course | Optional | ||||
| Department | ORTAK SEÇMELİ DERSLER BÖLÜMÜ | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | AHMET KAYA (ahmetkaya@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| The purpose of this course is to explain Optimization and describe several application of Optimization techniques. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Can choose the most appropriate optimization-based solution algorithm for the problems encountered. |
PO- |
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| LO-2 | Can perceive different problem definitions across disciplines. |
PO- |
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| LO-3 | Can understand the linear algebraic and other mathematical theorems that form the basis of the methods. |
PO- |
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| LO-4 | Can understand advanced complex problems. |
PO- |
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| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| Optimization techniques with the explanation of Linear Algebra and various mathematical programming methods. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Fundamentals of Linear Programming and review of Linear Algebra. | Topic explanation and related question solving. |
| 2 | Mathematical models for Linear Programming | Topic explanation and related question solving. |
| 3 | Finding a solution with a geometric approach | Topic explanation and related question solving. |
| 4 | Linear programming model building | Topic explanation and related question solving. |
| 5 | Solution techniques in Linear Programming | Topic explanation and related question solving. |
| 6 | Graphic Method | Topic explanation and related question solving. |
| 7 | Simplex solution method | Topic explanation and related question solving. |
| 8 | mid-term exam | |
| 9 | Theory of Dualite | Topic explanation and related question solving. |
| 10 | Sensitivity Analysis | Topic explanation and related question solving. |
| 11 | M-Method | Topic explanation and related question solving. |
| 12 | Two-Stage method | Topic explanation and related question solving. |
| 13 | Single artificial variable method | Topic explanation and related question solving. |
| 14 | General examples | Topic explanation and related question solving. |
| 15 | Repetition | Topic explanation and related question solving. |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| Required Course instruments and materials | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 8 | 2 | 40 |
| Other assessment methods | |||
| 1.Oral Examination | |||
| 2.Quiz | |||
| 3.Laboratory exam | |||
| 4.Presentation | |||
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | |||
| 8.Term Paper | |||
| 9.Project | |||
| final exam | 16 | 2 | 60 |
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 2 | 14 | 28 |
| Outside Class | |||
| a) Reading | 2 | 2 | 4 |
| b) Search in internet/Library | 3 | 10 | 30 |
| c) Performance Project | 0 | ||
| d) Prepare a workshop/Presentation/Report | 0 | ||
| e) Term paper/Project | 0 | ||
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 3 | 4 | 12 |
| mid-term exam | 1 | 2 | 2 |
| Own study for final exam | 3 | 4 | 12 |
| final exam | 1 | 2 | 2 |
| 0 | |||
| 0 | |||
| Total work load; | 90 | ||