IEM707 Mathematical Economics I

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

Information

Code IEM707
Name Mathematical Economics I
Term 2022-2023 Academic Year
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. KENAN LOPCU


Course Goal / Objective

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

Course Content

Subject Matters and Methodology, Market Theory and Structures, Consumer Theory and Demand Analysis, Producer Theory and Supply Analysis, Introduction to Welfare Economics and Linear Programming

Course Precondition

Successful completion of Mathematics, Microeconomics and Linear Algebra

Resources

Alpha C. Chiang and Kevin Wainwright, Fundamental Methods of Mathematical Economics, 4th edition, McGraw-Hill, 2005 .

Notes

Lecture Notes


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Acquires the essentials of microeconomic analysis and the mathematical techniques used.
LO02 Performs the unconstrained and constrained optimization and comparative static analysis.
LO03 Acquires the ability to interpret the solutions obtained economically.
LO04 Gains and introductory exposure to the main quantitative techniques (econometrics and linear programming) used in the empirical analysis of demand, costs and supply decisions.
LO05 Understands the profit and cost analysis within the markets framework.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explains contemporary concepts about Econometrics, Statistics, and Operation Research 3
PLO02 Bilgi - Kuramsal, Olgusal Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research 3
PLO03 Bilgi - Kuramsal, Olgusal Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences 5
PLO04 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 5
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 5
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 5
PLO07 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained by using different sources within the framework of academic rules in a field that does not research 4
PLO08 Beceriler - Bilişsel, Uygulamalı Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution
PLO09 Beceriler - Bilişsel, Uygulamalı Searches for new approaches and methods to solve problems being faced 5
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 4
PLO11 Beceriler - Bilişsel, Uygulamalı Collects/analyzes data in a purposeful way
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Converts its findings into a master's thesis or a professional report in Turkish or a foreign language 3
PLO13 Beceriler - Bilişsel, Uygulamalı Develops solutions for organizations using Econometrics, Statistics, and Operation Research 4
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team
PLO16 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
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code
PLO18 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
PLO19 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values 5


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 applications Readings and problem set Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
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
6 Consumer Theory Readings and problem set Öğretim Yöntemleri:
Anlatım
7 Consumer Theory and Demand Analysis Readings and problem set Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam Problem Solving Ölçme Yöntemleri:
Yazılı Sınav
9 Introduction to Producer Theory Readings and problem set Öğretim Yöntemleri:
Anlatım
10 Introduction Producer Theory and Supply Analysis Readings and problem set Öğretim Yöntemleri:
Anlatım
11 Applications in Producer Theory and Supply Analysis Readings and problem set Öğretim Yöntemleri:
Alıştırma ve Uygulama
12 Solutions in Producer Theory and Supply Analysis Readings and problem set Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Introduction to Welfare Economics Readings and problem set Öğretim Yöntemleri:
Anlatım
14 Introduction to Linear Programming Readings and problem set Öğretim Yöntemleri:
Anlatım
15 Review Readings and problem set Öğretim Yöntemleri:
Anlatım, Tartışma, Soru-Cevap, Alıştırma ve Uygulama
16 Examples solving Problem Solving Öğretim Yöntemleri:
Alıştırma ve Uygulama, Soru-Cevap, Tartışma
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 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 17.11.2022 09:38