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IKT4022 | Mathematical Economics | 3+0+0 | ECTS:5 | Year / Semester | Spring Semester | Level of Course | First Cycle | Status | Compulsory | Department | DEPARTMENT of ECONOMETRICS | Prerequisites and co-requisites | None | Mode of Delivery | | Contact Hours | 14 weeks - 3 hours of lectures per week | Lecturer | Prof. Dr. Nebiye YAMAK | Co-Lecturer | | Language of instruction | Turkish | Professional practise ( internship ) | None | | The aim of the course: | The course aims to provide the students with a general knowledge on mathematical methods to enable them to understand economics, to help them use mathematical tools to understand the economic issues |
Learning Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | LO - 1 : | Identify of mathematical instruments and economic models | 1 | 1, | LO - 2 : | Understand the identification of economic models by using the mathematical models | 1 | 1, | LO - 3 : | Apply the mathematical instruments to economic models | 1 | 1, | LO - 4 : | Analyze the economic relations by using the mathematical instruments | 1 | 1, | LO - 5 : | Create a new perspective on economic relations by using mathematical instruments | 1 | 1, | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | |
Basic concepts, tools in mathematical economics, algebra, equations, functions of one variable, properties of functions, differentiation, derivatives in use, single-variable optimization, integration, interest rates and present values, functions of many variables, tools for comparative statistics, multivariable optimization, constrained optimization, matrix and vector algebra, determinants and inverse matrices, linear programming. |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | The nature of mathematical economics | | Week 2 | mathematical versus nonmathematical economics | | Week 3 | Economic models | | Week 4 | Ingredients of a mathematical model | | Week 5 | Types of function | | Week 6 | Functions of two or more indepenendent variables | | Week 7 | levels of generality | | Week 8 | Static (or equilibrium)analysis | | Week 9 | Mid-term exam | | Week 10 | Equilibrium analysis in economies The meaning of equilibrium | | Week 11 | Partial market Equilibrium-a linear model | | Week 12 | Partial market Equilibrium-a nonlinear model | | Week 13 | Linear models and matrix algebra Matrices and vectors | | Week 14 | Matrix operations | | Week 15 | Linear models and matrix algebra | | Week 16 | End-of-term exam | | |
1 | Chiang, Alpha C,Çeviri,Ergun Kip ve diğerleri)1984;matematiksel İktisadın Temel Yöntemleri | | 2 | Chiang, Alpha C,Çeviri,Ergun Kip ve diğerleri)1984;matematiksel İktisadın Temel Yöntemleri | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 9 | 04/2024 | 1 | 50 | End-of-term exam | 16 | 06/2024 | 1 | 50 | |
Student Work Load and its Distribution | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | Yüz yüze eğitim | 3 | 14 | 42 | Sınıf dışı çalışma | 4 | 14 | 56 | Arasınav için hazırlık | 7 | 2 | 14 | Arasınav | 1 | 1 | 1 | Dönem sonu sınavı için hazırlık | 12 | 3 | 36 | Dönem sonu sınavı | 1 | 1 | 1 | Total work load | | | 150 |
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