EKMZ303 Mathematical Economics I

5 ECTS - 3-0 Duration (T+A)- 5. Semester- 3 National Credit

Information

Code EKMZ303
Name Mathematical Economics I
Term 2022-2023 Academic Year
Semester 5. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. KENAN LOPCU
Course Instructor Doç. Dr. ÇİLER SİGEZE GÜNEY (A Group) (Ins. in Charge)


Course Goal / Objective

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

Course Content

Profit maximization for diffrent markets, Keynesian multiplier, Matrix applications to economic models, multivariable optimization with and without constraints.

Course Precondition

Successful completion of Mathematics I-II, Introduction to Economics I, Statistics I-II, and Microeconomics I-II

Resources

Alpha C. Chiang ve Kevin Wainwright, Matematiksel İktisadın Temel Yöntemleri, 4. baskıdan çeviri (Çevirenler: Muzaffer Sarımeşeli ve Şenay Açıkgöz), Gazi Kitabevi, Ankara, 2005.

Notes

Robert S. Pindyck ve Daniel L. Rubinfeld, Mikroiktisat, 8. Baskıdan Çeviri (Editörler: Ertuğrul Deliktaş ve Metin Karadağ), Palme Yayıncılık, Ankara, 2014. Karl E. Case, Ray C. Fair ve Sharon M. Oster, Ekonominin İlkeleri, 9. Baskıdan çeviri (Editörler: Ertuğrul Deliktaş, Metin Karadağ ve Mehmet Güçlü), Palme Yayıncılık, Ankara, 2011. Lecture Notes


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Applying matrix theory to economic models
LO02 Analysing profit maximization for different markets
LO03 Analysing the utility maximization and expenditure minimization
LO04 Analysing multivariable optimization with constraints
LO05 Analysing multivariable optimization without constraints


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain the basic concepts and theorems in the fields of Econometrics, Statistics and Operations research 5
PLO02 Bilgi - Kuramsal, Olgusal Acquires basic Mathematics, Statistics and Operation Research concepts 5
PLO03 Bilgi - Kuramsal, Olgusal Describes the necessary concepts of Business
PLO04 Beceriler - Bilişsel, Uygulamalı Equipped with the foundations of Economics, and develops Economic models 4
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 5
PLO06 Beceriler - Bilişsel, Uygulamalı Has the ability to analyze/interpret at the conceptual level to develop solutions to problems 5
PLO07 Beceriler - Bilişsel, Uygulamalı Collects/analyses data 3
PLO08 Beceriler - Bilişsel, Uygulamalı Interprets the results analyzed with the model
PLO09 Beceriler - Bilişsel, Uygulamalı Combines the information obtained from different sources within the framework of academic rules in a field which does not research
PLO10 Beceriler - Bilişsel, Uygulamalı It develops traditional approaches, practices and methods into new working methods when it deems necessary
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team
PLO12 Yetkinlikler - Öğrenme Yetkinliği In addition to herself/himself professional development, constantly improves in scientific, cultural, artistic and social fields in line with interests and abilities
PLO13 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in its field.
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research
PLO15 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses Turkish and at least one other foreign language, academically and in the business context
PLO16 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
PLO17 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on current economic and social issues 5
PLO18 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values 4


Week Plan

Week Topic Preparation Methods
1 Subject Matters and Methodology Readings and problem set Öğretim Yöntemleri:
Anlatım
2 Methodology Readings and problem set Öğretim Yöntemleri:
Anlatım
3 Methodology and economic application Readings and problem set Öğretim Yöntemleri:
Anlatım, Problem Çözme
4 Market Theory and Structures Readings and problem set Öğretim Yöntemleri:
Anlatım
5 Market Theory and Structures -output approach Readings and problem set Öğretim Yöntemleri:
Anlatım, Problem Çözme
6 Consumer Theory Readings and problem set Öğretim Yöntemleri:
Anlatım
7 Consumer Theory and Demand Analysis Readings and problem set Öğretim Yöntemleri:
Anlatım, Problem Çözme
8 Mid-Term Exam Problem Solving Ölçme Yöntemleri:
Yazılı Sınav
9 Producer Theory and Supply Analysis-I Readings and problem set Öğretim Yöntemleri:
Anlatım
10 Producer Theory and Supply Analysis-II Readings and problem set Öğretim Yöntemleri:
Anlatım, Problem Çözme
11 Producer Theory and Supply Analysis-III Readings and problem set Öğretim Yöntemleri:
Anlatım
12 Producer Theory and Supply Analysis-IV Readings and problem set Öğretim Yöntemleri:
Anlatım, Problem Çözme
13 Introduction to Welfare Economics Readings and problem set Öğretim Yöntemleri:
Anlatım, Problem Çözme
14 Introduction to Linear Programming Readings and problem set Öğretim Yöntemleri:
Anlatım, Problem Çözme
15 Review Readings and problem set Öğretim Yöntemleri:
Anlatım, Problem Çözme
16 Term Exams Problem Solving Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Problem Solving Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS

Update Time: 17.11.2022 11:19