IEM708 Mathematical Economics II

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

Information

Code IEM708
Name Mathematical Economics II
Term 2024-2025 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 macroeconomic analysis.

Course Content

Subject Matters and Methodology: Review of basic concepts, tools and recent developments in macroeconomics; Static Macroeconomic Models and Comparative static Analysis; Introduction to Dynamic Analysis; Rational Expectations and Alternative Theories of Economic Activity; Introduction to Optimal Control and Basic Growth Models Final examination

Course Precondition

Successful completion of IEM 707 Matematiksel İktisat I

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 macroeconomic analysis and the mathematical techniques used.
LO02 Performs the comparative static analysis of basic macroeconomic models.
LO03 Learns the basic distinguishing features of dynamic macroeconomic models.
LO04 Understands the dynamic analysis of basic rational expectations models.
LO05 Becomes familiar with the basic analysis of main growth models.
LO06 Acquires the ability to interpret the solutions obtained economically.
LO07 Gains an introductory exposure to the main quantitative techniques (econometrics) used in the empirical analysis of macroeconomic activity and long term growth.


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 Readings and problem set Öğretim Yöntemleri:
Anlatım
2 Methodology Readings and problem set Öğretim Yöntemleri:
Anlatım
3 Methodology and application Readings and problem set Öğretim Yöntemleri:
Alıştırma ve Uygulama, Anlatım
4 Introduction to Static Macroeconomic Models Readings and problem set Öğretim Yöntemleri:
Anlatım
5 Introduction to Static Macroeconomic Models and Comparative static Analysis Readings and problem set Öğretim Yöntemleri:
Anlatım
6 Introduction to Dynamic Analysis Readings and problem set Öğretim Yöntemleri:
Anlatım
7 Dynamic Analysis Readings and problem set Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Problem Solving Ölçme Yöntemleri:
Yazılı Sınav
9 Introduction to Adaptive Expectations and the Cagan Model Readings and problem set Öğretim Yöntemleri:
Anlatım
10 Adaptive Expectations and the Cagan Model Readings and problem set Öğretim Yöntemleri:
Anlatım
11 Introduction to Rational Expectations Readings and problem set Öğretim Yöntemleri:
Anlatım
12 Rational Expectations: Properties and Solutions Readings and problem set Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Alternative Theories of Macroeconomic Fluctuations Readings and problem set Öğretim Yöntemleri:
Anlatım
14 Introduction to Optimal Control and Basic Growth Models Readings and problem set Öğretim Yöntemleri:
Anlatım
15 Optimal Control and Basic Growth Models Readings and problem set Öğretim Yöntemleri:
Anlatım
16 An overview Problem Solving Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
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: 09.05.2024 04:21