COURSE UNIT TITLE

: MATHEMATICAL ECONOMICS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IKT 3024 MATHEMATICAL ECONOMICS ELECTIVE 3 0 0 5

Offered By

Economics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR AYŞE ELIF AY YALÇINKAYA

Offered to

Econometrics
Economics (Evening)
Econometrics (Evening)
Economics

Course Objective

Analyzing the fundemental problems of economics science using mathematical methods

Learning Outcomes of the Course Unit

1   To be able to explain method mathematics (limit theorem etc.) to test economics science.
2   To be able to explain micro and macro based theories in the framework of mathematical applications.
3   To be able to analyze the nature of mathematical economics, the relationship between economic and econometric models.
4   To be able to develop strategy benefiting from game theory.
5   To be able to analyze the consumer and producer behaviours benefiting from operations techniques.
6   To be able to explain methods that optimizes the behaviors of decision making units.
7   To be able to analyze the general equilibrum of economics as a mathematical system.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The nature of mathematical economics, Economic models and econometric models
2 Equilibrum solution in economics and optimization: Lagrange multiplier
3 Theory of consumption
4 Theory of production
5 Perfect competition
6 Imperfect competition: Monopoly
7 Oligopolistic market
8 Labour market
9 Mid exam
10 Mid exam
11 Game theory
12 Macro economic analysis: IS - LM Models
13 Utility and profit maximization under linear programming
14 Input - Output analysis
15 Introduction to general equilibrum analysis
16 The existence, unity and stability of general equilibrum

Recomended or Required Reading

Ana Kaynaklar
* Bulmuş, Ismail (1998), Mikro Iktisat, Cantekin Matb., Ankara.
* Chiang, Alpha C. (1986), Matematiksel Iktisadın Temel Yöntemleri, Çev. Ergun Kip,
* Sydsaeter, K.&P. Hammond (2004), Ekonomik Analiz Için Temel Matematik, Ed. E. Telatar, Çev. M. Hassanov&B. Doğan, Turhan Kitabevi, Ankara.
* Kohler, H. (1990), Intermediate Microeconomics: Theory and Applications, 3rd Ed., Scott, Foresman and Company, USA.
* Kök, R. & E. Deliktaş (2003), Endüstri Iktisadında Verimlilik Ölçme ve Strateji Geliştirme Teknikleri, Dokuz Eylül Üniv. Yay., Izmir.
Yardımcı Kaynaklar
* Ünsal, Erdal (2003), Makro Iktisat, Turhan Kitabevi, Ankara.
* Ünsal, Erdal (2001), Mikro Iktisat, Imaj Yay., Ankara.

Planned Learning Activities and Teaching Methods

The course will be done with computer in the computer laboratory. The subject will be firmed provided by the computer based mathematical applications and problem solutions which will be done after the rememberance of the basic theoritical framework related with the subject which will be held. Additionally the student will be responsible of homeworks and quizzes.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 MTEG MIDTERM GRADE MTEG * 1
3 FIN FINAL EXAM
4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lecture 14 3 42
Application 14 1 14
weekly prelecture preparations 12 1 12
preparations to mid-term 1 8 8
preparations to final exam 1 10 10
preparations of presentation 2 6 12
preparations of personal homework 2 8 16
preparations to other mini exams 2 4 8
Mid Exam 1 1 1
Final 1 1 1
Other quizzes 2 1 2
TOTAL WORKLOAD (hours) 126

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9
LO.1111
LO.211
LO.3111
LO.41111
LO.511
LO.6111
LO.71111