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
2022/2023
Semester/trimester when the component is delivered
8 Semester
Number of ECTS credits allocated
3
Learning outcomes
PLO 4. Be able to describe and analyze discrete objects and systems, using the concepts and methods of discrete mathematics and algorithm theory. PLO 8. Develop discrete and continuous mathematical models. PLO 13. Solve individual engineering problems and problems in interdisciplinary fields - sociology, economics, ecology, and medicine. PLO 21. Demonstrate professional communication skills, including oral and written communication in Ukrainian and at least one of the official EU languages.
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 that can be obtained by a student is 60 points: 1. Control work No. 1: – 30/18 points. 2. Control work No. 2: – 30/18 points. Final evaluation (in the form of an exam): - The maximum number of points that can be obtained by a student is 40 points. - Form of conduct: written. - Types of tasks: 4 written tasks (2 theoretical questions and 2 practical tasks for 10 points each).
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