Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 1 / Spring Semester | ||||
| Level of Course | 1st Cycle Degree Programme | ||||
| Type of Course | Optional | ||||
| Department | ECONOMICS (PhD) | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | SERAP ÇOBAN (seraps@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| The aim of this course is to teach microeconomic and macroeconomic issues and variables, the maximum, minimumand optimum calculation. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | be able to learn maximum, minimum and optimum concepts in economics. |
PO-10 have ability on modeling the economic theories mathematically. |
Examination |
| LO-2 | be able to learn linear functions used in linear programming. |
PO- |
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| LO-3 | be able to learn non- linear functions with maximum, minimum and optimum concepts. |
PO- |
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| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| Linear Functions and Their Derivatives, Functions of Several Variables local maximum and local minimum, The use of linear programming optimization. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Maximum, Minimum and Optimum Concepts in Economics | Explanation |
| 2 | Linear Functions and Their Derivatives | Explanation |
| 3 | Non-linear functions: Maximum,minimum (optimum) and its derivatives | Explanation |
| 4 | Non-linear functions, derivatives and illustrations | Explanation |
| 5 | Drawing Functions, Asymptotes, convexity, concavity | Explanation |
| 6 | Functions of Several Variables local maximum and local minimum | Explanation |
| 7 | Functions of two variables conditional maximum and minimum | Explanation |
| 8 | mid-term exam | |
| 9 | Functions of two variables conditional maximum and minimum (Lagrange function) | Explanation |
| 10 | Functions of two variables conditional maximum and minimum (Lagrange function) | Explanation |
| 11 | The use of linear programming optimization | Explanation |
| 12 | The use of linear programming optimization | Explanation |
| 13 | Primal Problem solving (Quantity solution) | Explanation |
| 14 | Dual Problem solving (Price solution) | Explanation |
| 15 | General Overwiev | Explanation |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| Required Course instruments and materials | ||
| lesson books | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 8 | 1 | 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 | 1 | 60 |
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
| Outside Class | |||
| a) Reading | 5 | 10 | 50 |
| b) Search in internet/Library | 3 | 11 | 33 |
| 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 | 4 | 6 | 24 |
| mid-term exam | 1 | 1 | 1 |
| Own study for final exam | 5 | 6 | 30 |
| final exam | 1 | 1 | 1 |
| 0 | |||
| 0 | |||
| Total work load; | 181 | ||