ECMZ303 Mathematical Economics I

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

Information

Unit FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES
ECONOMETRICS PR. (ENGLISH)
Code ECMZ303
Name Mathematical Economics I
Term 2020-2021 Academic Year
Semester 5. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Uzaktan Öğretim
Catalog Information Coordinator Prof. Dr. KENAN LOPCU
Course Instructor Prof. Dr. KENAN LOPCU (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

Analysing and understanding relations among economic factors by using mathematical methods, setting up and evaluating economic models

Course Content

Profit maximization for diffrent markets, keynesian multiplier, Matrix applications to economic models, multivariable Optimization without Constraints, Constrained Optimization.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Analysing and solving profit maximization in different markets
LO02 Applying matrix theory to economic models
LO03 Analysing and explaining multivariable optimization with and without constarints


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 Analyzes/interprets at the conceptual level to develop solutions to problems 5
PLO07 Beceriler - Bilişsel, Uygulamalı Collects/analyses data from reliable data sources for the purpose of study 3
PLO08 Bilgi - Kuramsal, Olgusal Interprets the results analyzed with the model 4
PLO09 Beceriler - Bilişsel, Uygulamalı Combines the information obtained from different sources within the framework of academic rules in a field of research
PLO10 Beceriler - Bilişsel, Uygulamalı Adapts traditional approaches, practices and methods to a new study when necessary
PLO11 Beceriler - Bilişsel, Uygulamalı Uses a package program of Econometrics, Statistics, and Operation Research
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team
PLO13 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
PLO14 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it follows the current developments in the field / constantly renews itself
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 Profit maximization: competetive firm and monopoly Reading the textbook
2 Profit maximization: duopoly and olygoply Reading the textbook
3 A simple macroeconomic model and intro to matrix Reading the textbook
4 Matrix algebra and Cramer rule Reading the textbook
5 Matrix analysis with one and two markets Reading the textbook
6 Two firms with diffrentiated outputs, conjectural var. Reading the textbook
7 Matrix analysis of Keynesian and IS-LM model Reading the textbook
8 Midterm Exam Studying the course content
9 Multivariate calculus (partial derivatives, diffrentials) Reading the textbook
10 Keynesian balanced-badget multiplier, IS-LM balanced-budget multiplier, slopes of IS-LM Reading the textbook
11 Intro to unconstrained optimization Reading the textbook
12 Multivariate optimization, comparative statics, examples Reading the textbook
13 Cost minimization, utility maximization Reading the textbook
14 Expenditure minimization Reading the textbook
15 Review Reading the textbook
16 Final Exam Studying the whole course content
17 Final Exam Studying the whole course content


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


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: 01.05.2025 12:20