Economic and mathematical modelling of the world economic processes
Course: International Economic Relations (with compulsory study of two foreign languages)
Structural unit: Educational and scientific institute of international relations
Title
Economic and mathematical modelling of the world economic processes
Code
ОК22
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
5 Semester
Number of ECTS credits allocated
4
Learning outcomes
To know basic methodological principles of economic and mathematical research of social and economic systems; types of economic and mathematical models and levels of their use; methods of correlation, regression and factor analysis; optimization models and linear programming methods; limitations and assumptions of economic and mathematical modelling.
To be able to do quantitative and qualitative assessment of phenomena and relations in the world economic processes, model their dynamics, determine trends and forecast world economic development, solve problems on international logistics with linear programming methods, to use software for economic and mathematical modeling, interpret results of economic and mathematical modeling, consider limitations of the methods, adjust algorithms of research.
Communication for determining algorithm of research and interpreting results of economic and mathematical modeling.
Form of study
Full-time form
Prerequisites and co-requisites
- To know indicators of state and development of the world economy.
- To be able to apply mathematical tools for describing economic processes.
- To have basic skills in modern information technologies.
- To know English or other foreign languages for better opportunities for study of examples of modern research on economic and mathematical modeling and using special software.
Course content
Module 1. Basic theoretical knowledge about economic and mathematical modeling of world economic processes.
1.Conceptual aspects of mathematical modelling of economy.
2.Creating and analysis of dynamic economic models.
3.Linear optimization economic and mathematical models and methods.
4.Transportation problem: specification of input data, methods of solving and analysis.
5.Nonlinear optimization economic and mathematical models and methods.
6.Introduction into game theory.
7.Theoretical aspects of regression and correlation analysis. Factor analysis.
Module 2. Computer workshop on economic and mathematical modeling. Empirical examples of modelling world economic processes.
8.Special software for economic and mathematical modelling.
9. Correlation analysis methods.
10.Agrorithm of regression modelling.
11.Economic development models.
12. Examples of empirical models of world economic processes.
Recommended or required reading and other learning resources/tools
1. Голиков А.П. Економіко-математичне моделювання світогосподарських процесів. Х., 2006.
2. Грисенко М.В., Чугаєв, О.А. Кількісні методи аналізу міжнародних економічних відносин:. К., 2012.
3. Грисенко М.В., Шворак Л.О. Економіко-математичне моделювання світогосподарських процесів. К. 2016.
4. Altshuler C., Holland D., Hong P., Li H.-Y. The World Economic Forecasting Model at the United Nations. United Nations, 2016.
5. Chugaiev O. Research Methods and Methodology: Distant Course. Chu Hai College of Higher Education (Honkong, China), 2020.
6. Excel Easy. Data Analysis (https://www.excel-easy.com/data-analysis.html).
7. Microsoft. Excel help & learning (https://support.office.com/en-us/excel).
8. Pereguda O.V., Rusina A.V. Approximate synthesis of distributed optimal control for hyperbolic equations with rapidly oscillating coefficients. – Journal of Mathematical Sciences, 2018. – V.228. – p.306-313.
9. The General Algebraic Modelling System (https://www.gams.com/).
Planned learning activities and teaching methods
Lectures, workshops, case study
Assessment methods and criteria
1. Oral answers, comments, blitz poll – up to 20 points.
2. Problems – up to 20 points.
3. Module control work (test) – up to 10 points.
3. Case study – up to 10 points.
3.Exam – up to 40 points.
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Oleksii
Chugaiev
Chair of World Economy and International Economic Relations
Educational and scientific institute of international relations
Educational and scientific institute of international relations
Oleh
V.
Perehuda
The Department of General Mathematics
Faculty of Mechanics and Mathematics of Taras Shevchenko National University of Kyiv
Faculty of Mechanics and Mathematics of Taras Shevchenko National University of Kyiv
Departments
The following departments are involved in teaching the above discipline
Chair of World Economy and International Economic Relations
Educational and scientific institute of international relations
The Department of General Mathematics
Faculty of Mechanics and Mathematics of Taras Shevchenko National University of Kyiv