Mathematical economics

Course: Applied Mathematics

Structural unit: Faculty of Computer Science and Cybernetics

Title
Mathematical economics
Code
ННД.30
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
8 Semester
Number of ECTS credits allocated
3
Learning outcomes
LO 7. Be able to conduct practical research and find solutions to incorrectly stated problems. LO 9. Build efficient algorithms regarding the accuracy of calculations, stability, speed and cost of system resources for numerical study of mathematical models and solution of practical problems.
Form of study
Full-time form
Prerequisites and co-requisites
To successfully study the discipline "Mathematical Economics", a student must meet the following requirements: 1. Know basic concepts of mathematical analysis, linear algebra, and decision-making theory. 2. Be able to: formulate and solve problems of linear programming, solve systems of linear algebraic equations with parameters, solve differential equations, investigate functions and functionals for extremum. 3. Possess the skills of building, analyzing, and applying mathematical models when solving applied problems.
Course content
Getting to know the basic principles of building and researching models of economic phenomena and processes; mathematical microeconomic models of the theory of consumption and production; macroeconomic balance models; models of economic growth, and models of interaction between the economy and the environment. The course includes 2 content parts and 2 control papers. The discipline ends with a credit.
Recommended or required reading and other learning resources/tools
1. Ponomarenko O.I., Perestiuk M.O., Burym V.M. Suchasnyi ekonomichnyi analiz: U 2ch. Ch.1. Mikroekonomika. Ch.2. Makrokkonomika: Navchalnyi posibnyk. – K.: Vyshcha shkola, 2004. – 472 p. 2. Voloshyn O.F., Korobova M.V., Kolianova T.V. Metodychni rekomendatsii, pryklady ta vpravy z kursu «Matematychna ekonomika»: Navchalnyi posibnyk. –Kyiv: VPTs «Kyivskyi universytet», 2013 – 224 p. 3. Budahovska S. ta in. Mikroekonomika i makroekonomika. Pidruchnyk. – Kyiv: Osnovy, 2001. – 518 p. 4. Liashenko I.M., Korobova M.V., Horitsyna I.A. Modeliuvannia ekonomichnykh, ekolohichnykh ta sotsialnykh protsesiv. K.: VPTs «Kyivskyi universytet», 2010. – 320 p. 5. Voloshyn O.F., Mashchenko S.O. Teoriia pryiniattia rishen: Navch. posibnyk. – K.: VPTs «Kyivskyi u-t», 2018. – 232 p. 6. Voloshyn O.F., Mashchenko S.O. Modeli ta metody pryiniattia rishen: Navch. posibnyk. – K.: VPTs «Kyivskyi universytet», 2010. – 336 p.
Planned learning activities and teaching methods
Lectures, practical classes, independent work, study of recommended literature, homework.
Assessment methods and criteria
Semester Assessment: The maximum number of points a student can earn is 100. 1. Test № 1: 20/12 points. 2.Test № 2: 20/12 points. 3. Oral answers: 40/24 points. 4. Ongoing assessment: 20/12 points. Final grade in the form of a pass/fail credit: Credit points are determined as the sum of the scores for all successfully assessed learning outcomes provided by this program. The minimum threshold for the total score across all components is 60% of the possible number of points. A student receives a positive overall grade in the discipline if their semester score is at least 60 points.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Olexii F. Voloshyn
Complex systems modelling
Faculty of Computer Science and Cybernetics
Maryna V. Korobova
Complex systems modelling
Faculty of Computer Science and Cybernetics