Mathematical modeling of investment dynamics

Course: Business Informatics

Structural unit: Faculty of Computer Science and Cybernetics

Title
Mathematical modeling of investment dynamics
Code
ОК.07
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2024/2025
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
3
Learning outcomes
PLO6. Develop a conceptual model of an information or computer system. PLO8. Develop mathematical models and methods of data analysis (including big data). PLO9. Develop algorithmic and software tools for data analysis (including big data). PLO20. Create and study information and mathematical models of systems and processes under investigation, including automation objects.
Form of study
Full-time form
Prerequisites and co-requisites
To successfully study the discipline "Mathematical modeling of investment dynamics" the level of knowledge and skills of the student must meet the following requirements: Know: 1. fundamental principles and practical approaches to the construction and analysis of qualitative characteristics of mathematical models. 2. rules of application of methods of simulation modeling and self-organization of mathematical models. Be able: 1. determine and analyze the quantitative and qualitative characteristics of mathematical models. 2. formulate mathematical optimization problems for such models and outline ways to solve them. Have the skills: 1. skills in using MATLAB and STATISTICA application packages. 2. in English at a level not lower than Intermediate.
Course content
The purpose of the discipline is to expand theoretical knowledge and practical approaches to the application of methods of mathematical and computer modeling of the dynamics of complex systems in solving mathematical and applied decision-making problems in financial markets.
Recommended or required reading and other learning resources/tools
1. Kyrylych V.M. Rekursyvni metody dynamichnoi ekonomiky / V.M. Kyrylych, V.A. Kozytskyi.- Lviv: VTs LNU imeni Ivana Franka, 2012. – 84 p. 2. Kulian V.R. Metody optymalnoho keruvannia v zadachakh dyversyfikatsii portfelia invectytsii. Visnyk KNU imeni Tarasa Shevchenka,. S.: kibernetyka. - vyp. 1(15). - 2015. - pp. 18-32. 3. Kulian V.R. Matematychne modeliuvannia ta optymizatsiia finansovo-ekonomichnykh protsesiv. Kurs lektsii. [Elektronnyi resurs]. Rezhym dostupu www.195.68.210.50/moodle/. - 2012. - 84 p. 4. Kulian V.R., Yunkova O.O. Matematychne modeliuvannia ta optymizatsiia finansovo-ekonomichnykh protsesiv. Navchalnyi posibnyk. K.: “Kyivskyi universytet”, - 2014. - 112 p. 5. Markowitz H. Portfolio selection. - J. of Finance, 1952, v. 7, N1. - p.77-91.
Planned learning activities and teaching methods
Lectures, independent work, elaboration 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: Test work №1 - 20/12 points. Test work № 2 - 20/12 points. Current evaluation - 20/12 points. Final assessment in the form of an exam.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Victor R. Kulian
Complex systems modelling
Faculty of Computer Science and Cybernetics

Departments

The following departments are involved in teaching the above discipline

Complex systems modelling
Faculty of Computer Science and Cybernetics