ECO611 - MATHEMATICAL FOUNDATIONS of ECONOMICS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
MATHEMATICAL FOUNDATIONS of ECONOMICS ECO611 1st Semester 3 0 3 7
PrequisitesNone
Course languageEnglish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
 
Instructor (s)Academic Staff 
Course objectiveThe goal of this course is to give students an in-depth understanding of the mathematical tools used in master's level micro- and macro-economics courses. 
Learning outcomes
  1. By the end of the course the students are expected to * have solid knowldege of matrix algebra and differential calculus. * fully comprehend optimization, dynamic optimization and difference and differential equations. * be able to apply the mathematical techniques to a diverse range of economic problems.
Course Content* Functions
* Matrix Algebra
* Differential Calculus
* Optimization
* Integral Calculus
* Difference Equations
* Differential Equations
* Dynamic Optimization 
References* Michael W. Klein (2002) Mathematical Methods for Economics, second edition, Pearson Education. (Required)
* Carl P. Simon and Lawrence Blume (1994), Mathematics for Economists. N.W. Norton & Company, Inc.
* Alpha C. Chiang and Kevin Wainwright (2005), Fundamental Methods of Mathematical Economics, 4th Edition. McGraw Hill. 

Course outline weekly

WeeksTopics
Week 1Functions (1)
Week 2Functions (2)
Week 3Matrix Algebra
Week 4Differnetial Calculus
Week 5Optimization (1)
Week 6Optimization (2)
Week 7Optimization (3)
Week 8Midterm Exam I
Week 9Integral Calculus
Week 10Difference Equations
Week 11Differnetial Equations (1)
Week 12Differentail Equations (2)
Week 13Midterm Exam II
Week 14Dynamic Optimization (1)
Week 15Dynamic Optimization (2)
Week 16Final Exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments810
Presentation00
Project00
Seminar00
Midterms250
Final exam140
Total100
Percentage of semester activities contributing grade succes1060
Percentage of final exam contributing grade succes140
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14342
Presentation / Seminar Preparation000
Project000
Homework assignment8540
Midterms (Study duration)22550
Final Exam (Study duration) 13636
Total Workload3972210

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Mastering current theoretical developments in economics and comparing alternative perspectives.    X
2. Acquiring knowledge about different theoretical approaches and techniques to decide on specialization within economics.   X 
3. Gaining the flexibility to apply acquired theoretical knowledge to real-world problems.    X
4. Developing policy recommendations for real economic issues, analyzing these proposals, and conducting cost-benefit analyses.   X 
5. Developing a pluralistic understanding of various economic theories and perspectives to comprehensively analyze practical problems.    X
6. Developing a pluralistic understanding of various economic theories and perspectives to comprehensively analyze practical problems.   X 
7. Fostering the responsibility to utilize acquired knowledge for societal welfare and sharing it with the community.    X
8. Embracing high academic standards while conducting independent research.   X 
9. Generating original ideas without resorting to ethical violations such as plagiarism or distortion.    X
10. Addressing local economic issues within a global context and considering solutions on a global scale.   X 
11. Acquiring the necessary knowledge and technical skills for stable career planning.    X
12. Obtaining language and communication skills to follow the development of economic theory, communicate with other economists worldwide, and sustain this communication.   X 

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