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Description of Individual Course Units| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | İKT307.1B | Mathematical Economics-I | Elective | 3 | 5 | 5 |
| | Level of Course Unit | | First Cycle | | Objectives of the Course | | The aim of this course is to teach the mathematical methods and their applications for economic problems for underground students in economics department. | | Name of Lecturer(s) | | Doç. Dr. Ümit Yıldız | | Learning Outcomes | | 1 | identify of mathematical instruments and economic models | | 2 | understand the identification of economic models by using the mathematical models | | 3 | apply the mathematical instruments to economic models | | 4 | analysis the economic relations by using the mathematical instruments | | 5 | create a new perspective on economic relations by using mathematical instruments |
| | Mode of Delivery | | Normal Education | | Prerequisites and co-requisities | | None | | Recommended Optional Programme Components | | None | | Course Contents | | Introduction to mathematical economic models, mathematical formation of economic relations, static equilibrium models, matrix algebra, matrix formation at linear economic models, differentiation, economical applications of differentiation, optimization (maximization and minimization) . | | Weekly Detailed Course Contents | |
| 1 | Mathmatical economics, Non-mathmatical economics, and econometrics | | | | 2 | Economic models, elements of a mathmatical model, reel number system | | | | 3 | Set concept, relations and functions, types of functions, multi-variable functions | | | | 4 | Equlibrium analysis in economics, partial market equlibrium, general market equlibrium, national income equlibrium | | | | 5 | Linear models and matrix algebra | | | | 6 | Matrix operations, deriving the inverse matrix | | | | 7 | Cramer rule, an aplication on market and national income models, Leontief input-output analysis | | | | 8 | Mid-term exam | | | | 9 | Comperative stationaryties, differentiation speed and derivatives, slope and derivatives | | | | 10 | Limit concept and solving the limit problems, limit theorems | | | | 11 | Quiz | | | | 12 | Derivation rules in a univariate function, chain rule, inverse function rule | | | | 13 | Partial derivation and its economic applications | | | | 14 | Optimization problems, optimum values and extreme values | | | | 15 | Using the first derivation to find the optimum values | | |
| | Recommended or Required Reading | | Chiang, A.C. ve Weinwright, K. 2005; Matematiksel İktisadın Temel Yöntemleri, Gazi Kitabevi, 4. Baskı, Ankara. | | Planned Learning Activities and Teaching Methods | | | Assessment Methods and Criteria | |
| Midterm Examination | 1 | 100 | | SUM | 100 | |
| Final Examination | 1 | 100 | | SUM | 100 | | Term (or Year) Learning Activities | 40 | | End Of Term (or Year) Learning Activities | 60 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | None |
| | Workload Calculation | |
| Midterm Examination | 1 | 1 | 1 | | Final Examination | 1 | 1 | 1 | | Quiz | 1 | 1 | 1 | | Attending Lectures | 14 | 3 | 42 | | Self Study | 14 | 4 | 56 | | Individual Study for Mid term Examination | 15 | 1 | 15 | | Individual Study for Final Examination | 15 | 2 | 30 | |
| Contribution of Learning Outcomes to Programme Outcomes | | LO1 | 4 | 4 | 4 | 3 | 2 | 2 | 1 | | LO2 | 4 | 4 | 4 | 3 | 2 | 2 | 1 | | LO3 | 4 | 4 | 4 | 3 | 2 | 2 | 1 | | LO4 | 4 | 4 | 4 | 3 | 2 | 2 | 1 | | LO5 | 4 | 4 | 4 | 3 | 2 | 2 | 1 |
| | * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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