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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 |
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 |