11111

COURSE INTRODUCTION AND APPLICATION INFORMATION


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Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Fall/Spring
Prerequisites
None
Course Language
Course Type
Elective
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator -
Course Lecturer(s) -
Assistant(s) -
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • Will be able to use basic and fundamental mathematical tools.
  • Will be able to describe an economic model mathematically.
  • Will be able to solve a system of equations both by substitution and linear algebra methods.
  • Will be able to analyze input output economics by using matrix algebra.
  • Will be able to conduct comparative static analysis
  • Will be able to solve optimization problems.
Course Description

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
X
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 The Nature of Mathematical Economics and Economic Models Chiang Chapter 1, 2
2 Equilibrium Analysis in Economics Chiang Chapter 3
3 Linear Models and Matrix Algebra Chiang Chapter 4
4 Linear Models and Matrix Algebra Chiang Chapter 5
5 Linear Models and Matrix Algebra Chiang Chapter 5
6 Rules of Differentiation and Their Use in Comparative Statics Chiang Chapter 7
7 Comparative Static Analysis of General Function Models Chiang Chapter 8
8 Midterm
9 Optimization: A Special Variety of Equilibrium Analysis Chiang Chapter 9
10 The Case of More Than One Choice Variable Chiang Chapter 11
11 The Case of More Than One Choice Variable Chiang Chapter 11
12 Optimization with Equality Constraints Chiang Chapter 12
13 Optimization with Equality Constraints Chiang Chapter 12
14 Final Review
15 Review of the Semester  
16 Review of the Semester  
Course Notes/Textbooks Chiang, A.C. (2005), ‘Fundemantal Methods of Mathematical Analysis, McGrawHill.
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
16
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
5
20
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
1
35
Final Exam
1
35
Total

Weighting of Semester Activities on the Final Grade
65
Weighting of End-of-Semester Activities on the Final Grade
35
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
16
3
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
5
5
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
1
30
Final Exams
1
44
    Total
195

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 To have a grasp of basic mathematics, applied mathematics and theories and applications of statistics.
2 To be able to use theoretical and applied knowledge acquired in the advanced fields of mathematics and statistics,
3 To be able to define and analyze problems and to find solutions based on scientific methods,
4 To be able to apply mathematics and statistics in real life with interdisciplinary approach and to discover their potentials, X
5 To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself, X
6 To be able to criticize and renew her/his own models and solutions, X
7 To be able to tell theoretical and technical information easily to both experts in detail and nonexperts in basic and comprehensible way,
8

To be able to use international resources in English and in a second foreign language from the European Language Portfolio (at the level of B1) effectively and to keep knowledge up-to-date, to communicate comfortably with colleagues from Turkey and other countries, to follow periodic literature,

9

To be familiar with computer programs used in the fields of mathematics and statistics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level,

10

To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,

11 To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense,
12

By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere,

X
13

To be able to continue lifelong learning by renewing the knowledge, the abilities and the compentencies which have been developed during the program, and being conscious about lifelong learning,

14

To be able to adapt and transfer the knowledge gained in the areas of mathematics and statistics to the level of secondary school,

15

To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively.

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 

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