Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
MATHEMATICAL ECONOMICS IKT2016 4. Semester 3 + 0 3.0 4.0

Prerequisites None

Language of Instruction Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals The goal of this course is to increase our understanding of how mathematics is used in economics modeling and analysis. Therefore, the methods of comparative static and comparative dynamic analyses are the main building in this course.
Course Content Introduction Mathematical Economics and Modeling Homogenous functions Euler Theorem Envelope theorem, Indirect Utility Function, Roy’s Identity Envelope theorem, Expenditure Function, Shephard's Lemma Slutsky Equation, Envelope theorem, Profit Function, Hotelling's Lemma Dynamic analysis and integral Definite integral Integral and applications of integral in economics Continuous time: First Order linear differential equations : Constant coefficient and constant term Variable coefficient and variable term Exact differential equations Non-Linear differential equations and graphical Solution method Second Order linear differential equations: Constant coefficient and constant term Price Expectations Model Solow Growth Model Discrete Time, Difference Equations, First order Difference equation Stability of Equilibrium, Cobweb, Inflation – Output Nonlinear difference equations, graphical approach Second order difference equaitons :Constant coefficient and term Simultaneous difference and differential equations Phase Diagram and Economics Dynamic IS-LM Optimal Control Theory Hamiltonian, Application: Ramsey-Cass-Koopmans
Learning Outcomes 1) Students will be able to work with mathematical methods used in economic theory
2) Students will be able to express economic notions mathematically
3) Students will be capable of modelling economic activities formally and analytically

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Mathematical Economics and Modeling Lecture
Brainstorming
Project Based Learning
Homework
2. Week Homogenous functions Euler Theorem Envelope theorem, Indirect Utility Function, Roy’s Identity Lecture
Brainstorming
Project Based Learning
Homework
3. Week Envelope theorem, Expenditure Function, Shephard's Lemma Slutsky Equation, Envelope theorem, Profit Function, Hotelling's Lemma Lecture
Brainstorming
Project Based Learning
Homework
4. Week Dynamic analysis and integral Definite integral Integral and applications of integral in economics Lecture
Brainstorming
Project Based Learning
Homework
5. Week Continuous time: First Order linear differential equations : Constant coefficient and constant term Lecture
Brainstorming
Project Based Learning
Homework
6. Week Variable coefficient and variable term Exact differential equations Lecture
Brainstorming
Project Based Learning
Homework
7. Week Non-Linear differential equations and graphical Solution method Lecture
Brainstorming
Project Based Learning
Homework
8. Week Second Order linear differential equations: Constant coefficient and constant term Lecture
Brainstorming
Project Based Learning
Homework
9. Week Complex Roots and Price Expectations Model Solow Growth Model Lecture
Brainstorming
Project Based Learning
Homework
10. Week Discrete Time, Difference Equations, First order Difference equation Lecture
Brainstorming
Project Based Learning
Homework
11. Week Stability of Equilibrium, Cobweb, Inflation – Output Lecture
Brainstorming
Project Based Learning
Homework
12. Week Nonlinear difference equations, graphical approach Second order difference equaitons :Constant coefficient and term Simultaneous difference and differential equations Lecture
Brainstorming
Project Based Learning
Homework
13. Week Phase Diagram and Economics Dynamic IS-LM Lecture
Brainstorming
Project Based Learning
Homework
14. Week Optimal Control Theory Hamiltonian, Application: Ramsey-Cass-Koopmans Lecture
Brainstorming
Project Based Learning
Homework

Sources Used in This Course
Recommended Sources
- Elements of Dynamic Optimization, Alpha C. Chiang, McGraw Hill,1992. - Matematiksel İktisadın Temel Yöntemleri 4. Baskıdan Çeviri (Alpha C. Chiang, Kevin Wainwright), Çeviri : Muzaffer Sarımeşeli, Gazi Kitabevi Economics Analysis, Phase Diagrams and Their Economic Application, Ronald Shone, Cambridge University Press, 1997. Structure of Economics A Mathematical Analysis, Eugene Silberberg, Second Edition McGraw-Hill Publishing Company, 1990.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3
PY15000
PY25000
PY35000
PY45000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 4
Work Hour outside Classroom (Preparation, strengthening) 14 2
Midterm Exam 1 1
Time to prepare for Midterm Exam 1 10
Final Exam 1 1
Time to prepare for Final Exam 1 10
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information