IEM1835 Mathematical Economics I

8 ECTS - 4-0 Duration (T+A)- . Semester- 4 National Credit

Information

Unit INSTITUTE OF SOCIAL SCIENCES
ECONOMETRICS (PhD)
Code IEM1835
Name Mathematical Economics I
Term 2024-2025 Academic Year
Term Fall and Spring
Duration (T+A) 4-0 (T-A) (17 Week)
ECTS 8 ECTS
National Credit 4 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. KENAN LOPCU
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

The aim of this course is to teach the analytical methods and quantitative techniques of microeconomic analysis.

Course Content

In this course, market theory and its types, consumer theory and demand analysis, producer theory and supply analysis, welfare economics, and linear programming are comprehensively covered

Course Precondition

Successful completion of Mathematics, Microeconomics and Linear Algebra

Resources

Chiang, A. C., & Wainwright, K. (2005). Fundamental methods of mathematical economics (4th ed.). McGraw-Hill.

Notes

Varian, H. R. (1992). Microeconomic analysis (3rd ed.). Norton


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains the essentials of microeconomic analysis
LO02 Performs the unconstrained optimization and comparative static analysis.
LO03 Performs the constrained optimization and comparative static analysis.
LO04 Interprets the solutions obtained economically.
LO05 Employs the main quantitative techniques used in the empirical analysis of demand, costs and supply decisions.
LO06 Performss the profit and cost analysis within the markets framework.
LO07 Explains the essentials of dynamic microeconomic analysis
LO08 Employs the dynamic optimization methods


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Identify an econometric problem and propose a new solution to it 3
PLO02 Bilgi - Kuramsal, Olgusal Develops new knowledge using current concepts in Econometrics, Statistics and Operations Research 3
PLO03 Bilgi - Kuramsal, Olgusal Explain for what purpose and how econometric methods are applied to other fields and disciplines 5
PLO04 Beceriler - Bilişsel, Uygulamalı Using her knowledge, brings original solutions to problems in Economics, Business Administration and other social sciences 5
PLO05 Beceriler - Bilişsel, Uygulamalı Creates a new model using mathematics, statistics and econometrics knowledge to solve the problem encountered 5
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 5
PLO07 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 4
PLO08 Beceriler - Bilişsel, Uygulamalı Collects data on purpose
PLO09 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained by using different sources within the framework of academic rules in a field of research 5
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 4
PLO11 Beceriler - Bilişsel, Uygulamalı Converts its findings into a master's thesis or a professional report in Turkish or a foreign language
PLO12 Beceriler - Bilişsel, Uygulamalı It researches current approaches and methods to solve the problems it encounters and proposes new solutions 3
PLO13 Beceriler - Bilişsel, Uygulamalı Develops long-term plans and strategies using econometric and statistical methods 4
PLO14 Beceriler - Bilişsel, Uygulamalı Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem
PLO16 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads the team by taking responsibility
PLO17 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in the field of study
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution
PLO19 Yetkinlikler - İletişim ve Sosyal Yetkinlik Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values
PLO21 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues 5


Week Plan

Week Topic Preparation Methods
1 Subject Matters and Methodology Reading Öğretim Yöntemleri:
Anlatım
2 Methodology, Introduction Reading Öğretim Yöntemleri:
Anlatım
3 Methodology Reading Öğretim Yöntemleri:
Anlatım, Tartışma
4 Market Theory and Structures Reading Öğretim Yöntemleri:
Anlatım
5 Market Theory and Structures -output approach Reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Consumer Theory Reading Öğretim Yöntemleri:
Anlatım
7 Consumer Theory and Demand Analysis Reading Öğretim Yöntemleri:
Anlatım, Tartışma, Soru-Cevap
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav, Ödev
9 Producer Theory and Supply Analysis-I Reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Producer Theory and Supply Analysis-II Reading Öğretim Yöntemleri:
Anlatım, Tartışma
11 Producer Theory and Supply Analysis-III Reading Öğretim Yöntemleri:
Tartışma, Soru-Cevap
12 Producer Theory and Supply Analysis-IV Reading Öğretim Yöntemleri:
Alıştırma ve Uygulama, Soru-Cevap
13 Introduction to Welfare Economics Reading Öğretim Yöntemleri:
Anlatım
14 Introduction to Linear Programming Reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 Review Reading Öğretim Yöntemleri:
Tartışma, Soru-Cevap, Alıştırma ve Uygulama
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 8 112
Assesment Related Works
Homeworks, Projects, Others 2 4 8
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 24 24
Total Workload (Hour) 212
Total Workload / 25 (h) 8,48
ECTS 8 ECTS

Update Time: 28.02.2025 08:59