Infopaket

Information Technologies of Economy’s Modelling

ВБ.2.2.

Вибіркова дисципліна для ОП

First

2023/2024

6 Semester

5

PLO 8. Apply appropriate economic-mathematical methods and models to solve economic problems. PLO 12. Apply the acquired theoretical knowledge to solve practical problems and meaningfully interpret the results. PLO 27. Use appropriate software (programming languages, packages) for economic and mathematical research.

1. Know the basic principles of functioning of economic systems at the micro and macro levels; elements of mathematical analysis, probability theory and mathematical statistics that are needed to solve economic problems. 2. Have the skills of analysis, synthesis, processing and presentation of statistical data, work with the regulatory framework.

The course structure has two modules: Content module 1. “Probability Theory” that discusses the basic concepts of probability theory, axioms of probability theory, discrete random variables, continuous random variables, limit theorems of probability theory. Content module 2. "Case-oriented methods of solving economic modeling tasks", which examines examples and methodology of modeling economic processes.

1. Вітлінський В.В., Жлуктенко В.І., Тарасова Л.Г., Великоіваненко Г.І. Прикладні моделі економічних процесів : практикум [Електронний ресурс] / В 54. — К.: КНЕУ, 2014. — 226 с. 2. Девід Віт (David Wheat). Системно-динамічні моделі: основні етапи побудови моделей системної динаміки з використанням програмного пакета iThink10. Практичний посібник для роботи з системною динамікою в комп’ютерному класі / Девід Віт (David Wheat), Я. В. Стельмашенко, О. І. Фарина. – Київ : НаУКМА, 2013. – 56 с. 3. Jabłoński A., Jabłoński M. Social Business Models In The Digital Economy: New Concepts And Contemporary Challenges, Palgrave Macmillan, 2020. – 244 p. 4. Guerrero H. Excel Data Analysis: Modeling and Simulation, Springer, 2019. – 358 p. 5. Aagaard A. Digital Business Models: Driving Transformation and Innovation, Springer International Publishing, Palgrave Macmillan, 2019. – 280 p.

Lecture, laboratory training, student’s self-study

1. Laboratory work check (LO 1.2; 2.1-2.2; 4.1) – 20 points / 12 points; 2. Module test (2 MT, 10 points max. each) (LO 1.1-1.2) – 20 points / 12 points; 3. Project implementation (LO 2.1-2.2; 4.1) – 20 points / 12 points. 4. Final exam – 40 points / 24 points.

Ukrainian