COURSE INFORMATON
Course Title
MATHEMATICAL ECONOMICS
Code
Semester
L+P Hour
Credits
ECTS
ECON 332
6
3+0
3
6
Prerequisites
-
Language of
Instruction
English
Course Level
Undergraduate
Course Type
Compulsory
Course
Coordinator
Assoc. Prof. Dr. Natalya KETENCİ
Instructors
Assoc. Prof. Dr. Natalya KETENCİ, Assist. Prof. Dr. Hatice Kerra
GELDİ
Assistants
A course on Mathematical Economics aims to shed light on how
the basic concepts of Mathematics are intensively used in
Economics. In other words, it is the mix of Mathematics and the
theory of Economics. At the end of the semester, students are
expected to figure out what are the fundamental components of
such a theoretical mixture.
Goals
Equilibrium analysis, Linear models and matrix algebra, rules of
differentiation and their use in comparative statics, optimization
problems.
Content
Learning Outcomes
Program
Learning
Outcomes
1) To be able to determine the subject matter
of Mathematical Economics.
1,5,7,9,10
2) To understand related mathematical
concepts.
1,5,7,9,10
3) To be able to solve the equation systems
for the equilibrium analysis.
1,5,7,9,10
4) To be able to matrix algebra in order to
solve the linear equation systems.
1,5,7,9,10
5) Learn the use of differentiation techniques
for the comparative static analysis.
1,5,7,9,10
6) To be able to determine the optimum
values of an economic variable in nonconstraint and constraint cases.
1,5,7,9,10
Teaching
Methods:
Teaching
Methods
Assessment
Methods
1,2,3
A,C
1,2,3
A,C
1,2,3
A,C
1,2,3
A,C
1,2,3
A,C
1,2,3
A,C
1: Lecture, 2: Question-Answer, 3: Discussion, 9: Simulation, 12:
Case Study
Assessment
Methods:
A: Testing, C: Homework
COURSE CONTENT
Week Topics
1
2
3
4
5
6
The Nature of Mathematical Economics & Economic Models
Equilibrium Analysis in Economics
Equilibrium Analysis in Economics
Linear Models and Matrix Algebra
Linear Models and Matrix Algebra (continued)
Comparative Statics and the Concept of Derivative
7
Rules of Differentiation and Their Use in Comparative
Statistics
8
Rules of Differentiation and Their Use in Comparative
Statistics
9
10
11
12
13
14
Midterm Exam
Optimization: A Special Variety of Equilibrium Analysis
Optimization: A Special Variety of Equilibrium Analysis
Optimization with Equality Constraints
Optimization with Equality Constraints
Final Review
Study
Materials
RECOMMENDED SOURCES
Textbook
Chiang, A.C. and Wainwright, K., Fundamental Methods of
Mathematical Economics, 4th ed., McGraw-Hill, 2005.
Additional Resources
MATERIAL SHARING
Documents
Assignments
Exams
ASSESSMENT
IN-TERM STUDIES
NUMBER PERCENTAGE
Mid-terms
1
80
Attendance
1
20
Total
100
CONTRIBUTION OF FINAL EXAMINATION TO
OVERALL GRADE
50
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL
GRADE
50
Total
COURSE CATEGORY
100
Expertise/Field Courses
COURSE'S CONTRIBUTION TO PROGRAM
Contribution
No Program Learning Outcomes
1 2 3 4 5
1
To acquire a sound knowledge of theoretical and quantitative skills in
the field of economics so that a contribution to solution of current
economic problems can be made.
2
To acquire professional
competence and knowledge in economics
which can be implemented in real life.
3
To possess the skills for writing, presentation and virtual sharing
platforms
that are used in problem solving and knowledge
accumulation.
4
To be able to evaluate and criticise the theories and abilities in
economics teaching in order to determine further learning needs.
5
To take personal responsibility to
unpredictable and complex in practise.
6
To able to participate in and to contribute efficiently to
professional, regional and academic networks.
7
To enlighten individuals and institutions and to earn ability to present
solutions to economic problems.
8
To possess social, scientific and ethical values at the data collection,
interpretation and dissemination stages of economic analysis.
9
To have the ability to evaluate his/her advance (post graduate) level
educational needs and do the necessary planning to fulfill those needs
through the acquired capability to think analytically and critically.
10
To be able to use English language efficently in order to achive
progress in academic and professional life.
solve
problems
which
are
x
x
the global,
X
X
x
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE
DESCRIPTION
Activities
Quantity
Total
Duration
Workload
(Hour)
(Hour)
Course Duration (Including the exam week: 16x Total
course hours)
16
3
48
Hours for off-the-classroom study (Pre-study, practice)
16
4
64
Mid-terms
1
10
10
Quizes
0
0
0
Homework
8
3
24
Final examination
1
15
15
Total Work Load
161
Total Work Load / 25 (h)
6.44
ECTS Credit of the Course
6