Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES / İKT330 - ECONOMICS

Code: İKT330 Course Title: MATHEMATICAL ECONOMICS Theoretical+Practice: 3+0 ECTS: 4
Year/Semester of Study 3 / Spring Semester
Level of Course 1st Cycle Degree Programme
Type of Course Optional
Department ECONOMICS
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 objective of this course is to provide the students with the mathematical part of the economics theory.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Be able to relate how to apply mathematical principles into economics. PO-10 have ability on modeling the economic theories mathematically.
PO-11 have ability on defining economic variables and comment on the relationships between these variables.
Examination
LO-2 Be able to formulate the economical problems mathematically. PO-10 have ability on modeling the economic theories mathematically.
PO-11 have ability on defining economic variables and comment on the relationships between these variables.
Examination
LO-3 Be able to solve the economical functions (optimization). PO-10 have ability on modeling the economic theories mathematically.
PO-11 have ability on defining economic variables and comment on the relationships between these variables.
Examination
LO-4 Be able to solve the constrained optimization problems. PO-10 have ability on modeling the economic theories mathematically.
PO-11 have ability on defining economic variables and comment on the relationships between these variables.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
The definition and scope of mathematical economics. Static analysis: Partial and general equilibrium analysis. Comparative static analysis: The derivative and rules of differentiation, the use of derivatives in economics. Constrained optimization: The mathematical analysis of consumers’ and producers’ equilibrium. The market structure and profit maximization. Homogeneous functions. Cobb-Douglas and CES production functions
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Introduction Lecturing
2 The definition and scope of mathematical economics Lecturing
3 Static analysis: Partial and general equilibrium analysis Lecturing
4 Comparative static analysis: The derivative and rules of differentiation, the use of derivatives in economics Lecturing
5 Comparative static analysis: The derivative and rules of differentiation, the use of derivatives in economics Lecturing and Problem solving method
6 Comparative static analysis: The derivative and rules of differentiation, the use of derivatives in economics Lecturing and Problem solving method
7 Constrained optimization: The mathematical analysis of consumers’ and producers’ equilibrium. Lecturing
8 mid-term exam
9 Constrained optimization: The mathematical analysis of consumers’ and producers’ equilibrium. Lecturing
10 Constrained optimization: The mathematical analysis of consumers’ and producers’ equilibrium. Lecturing and Problem solving method
11 The market structure and profit maximization Lecturing
12 The market structure and profit maximization Lecturing and Problem solving method
13 Homogeneous functions Lecturing
14 Cobb-Douglas and CES production functions Lecturing
15 Cobb-Douglas and CES production functions Problem solving method
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Chiang, A., K. Wainwright; Matematiksel İktisadın Temel Yöntemleri, 4. Baskı, Gazi Kitabevi, Ankara, 2005.
Required Course instruments and materials
1. Chiang, A., K. Wainwright; Matematiksel Iktisadin Temel Yontemleri, 4. Baski, Gazi Kitabevi, Ankara, 2005. 2. Sekmen, F.; Iktisadi Matematik, 1. Baski, Detay Yayincilik, Ankara, 2009.

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 2 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 3 14 42
       b) Search in internet/Library 0
       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 2 7 14
mid-term exam 1 1 1
Own study for final exam 3 7 21
final exam 2 1 2
0
0
Total work load; 122