İKT731 Economics and Mathematics

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

Information

Code İKT731
Name Economics and Mathematics
Term 2024-2025 Academic Year
Term Fall and Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. SANLI ATEŞ
Course Instructor Doç. Dr. SANLI ATEŞ (A Group) (Ins. in Charge)


Course Goal / Objective

Acquiring to analyze, establish model, figure out the problems in economic theory by mathematical techniques.

Course Content

Comperative static analysis, Optimization, Dynamic Analysis

Course Precondition

Basic math knowledge is required.

Resources

Fundamental Methods of Mathematical Economics (Alpha Chiang, McGraw-Hill, New York, 2005, 4th Edition)

Notes

Introductory Mathematical Analysis for Business, Economics, and the Life and Social Sciences (Ernest Haeussler, Richard Paul, Richard Wood, Pearson, 14th Edition, 2022)


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Comprehend the importance of mathematical techniques in economic theory
LO02 Comprehend and solve the dynamic problems in economic theory
LO03 Comprehend and solve the optimization problems in economic theory
LO04 Comprehend and solve the comperative static problems in economic theory
LO05 Easily comprehends articles and books in which mathematical modeling is used extensively in the field of economics.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Gains expertise in economics. 3
PLO02 Bilgi - Kuramsal, Olgusal Specifies the role of the market economy, the price advantage of the event. 2
PLO03 Bilgi - Kuramsal, Olgusal Explains basic macroeconomic problems such as unemployment, inflation, current account deficit and policies to solve these problems based on scientific sources. 3
PLO04 Bilgi - Kuramsal, Olgusal Faces with challenges, produces a numerical and policy options. 3
PLO05 Bilgi - Kuramsal, Olgusal Builds, decodes and interprets models by using quantitative and qualitative techniques 2
PLO06 Bilgi - Kuramsal, Olgusal Learning the application of programme packages like SAS, RATS, SPSS, TSP, Win BUGS, EViews, etc to do analyses of empirical data.
PLO07 Bilgi - Kuramsal, Olgusal Uses the theory of economics in analyzing the economic events 2
PLO08 Bilgi - Kuramsal, Olgusal Acquires the ability of analyzing in the conceptual level ,compares interprets, evaluates and synthesizes ideas in order to develop solutions to the problems.
PLO09 Bilgi - Kuramsal, Olgusal Takes responsibility individually and / or in a team,leads a team and works effectively
PLO10 Bilgi - Kuramsal, Olgusal With the awareness of the necessity of life-long learning, follows the latest developments about his field and improves himself
PLO11 Bilgi - Kuramsal, Olgusal Speaks Turkish, and at least one other foreign language in accordance with the requirements of academic and business life.
PLO12 Bilgi - Kuramsal, Olgusal Questions traditional approaches, implementations, and methods ;develops and practises alternative study programs when required
PLO13 Beceriler - Bilişsel, Uygulamalı Knows where and how to find all scientific resources and data to do her research.
PLO14 Beceriler - Bilişsel, Uygulamalı Understands the necessity and importance of research in social sciences.
PLO15 Beceriler - Bilişsel, Uygulamalı Understands the relationship between economics and other branches of science.
PLO16 Yetkinlikler - İletişim ve Sosyal Yetkinlik Expresses himself/herself accurately, both orally and in writing.
PLO17 Yetkinlikler - Öğrenme Yetkinliği Recognize and apply social, scientific and professional ethical values.


Week Plan

Week Topic Preparation Methods
1 Fundamental methods in mathematics (matrix, Funtional analysis)-1 Lecture, Case Study, Problem Solving Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
2 Fundamental methods in mathematics (matrix, Funtional analysis)-2 Lecture, Case Study, Problem Solving Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
3 Comperative static analysis-1 Lecture, Case Study, Problem Solving Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
4 Comperative static analysis-2 Lecture, Case Study, Problem Solving Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
5 Comperative static analysis-3 Lecture, Case Study, Problem Solving Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Optimization-1 Lecture, Case Study, Problem Solving Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Optimization-2 Lecture, Case Study, Problem Solving Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Optimization-3 Lecture, Case Study, Problem Solving Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 First order differential equations-1 Lecture, Case Study, Problem Solving Öğretim Yöntemleri:
Anlatım, Soru-Cevap
11 First order differential equations-2 Lecture, Case Study, Problem Solving Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Second order differential equations-1 Lecture, Case Study, Problem Solving Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Second order differential equations-2 Lecture, Case Study, Problem Solving Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 System of first order differential equations-1 Lecture, Case Study, Problem Solving Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 System of first order differential equations-2 Lecture, Case Study, Problem Solving Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
16 Term Exams Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams 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 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 17 17
Final Exam 1 24 24
Total Workload (Hour) 125
Total Workload / 25 (h) 5,00
ECTS 5 ECTS

Update Time: 08.05.2024 11:29