Theory of Probability and Mathematical Statistics for economists for Economists

Course: Management of Organizations

Structural unit: Faculty of Economics

Title
Theory of Probability and Mathematical Statistics for economists for Economists
Code
ОК. 1.12
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
2 Semester
Number of ECTS credits allocated
5
Learning outcomes
PLO 4. Demonstrate skills to identify problems and justify management decisions. PLO 6. Identify skills of search, collection and analysis of information, calculation of indicators to justify management decisions. PLO 6. Identify skills of search, collection and analysis of information, calculation of indicators to justify management decisions. PLO 11. Demonstrate skills of situation analysis and communication in various areas of the organization.
Form of study
Full-time form
Prerequisites and co-requisites
1. Know: the basic concepts of higher mathematics, including methods for calculating the boundaries of numerical sequences and functions, the concept of numerical series, methods for studying the convergence of numerical series, methods for calculating integrals, set theory. 2. Have the skills to calculate the boundaries of numerical sequences, calculating integrals.
Course content
Content module 1. "Probability Theory", which 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. "Mathematical Statistics", which discusses the main problems of mathematical statistics, descriptive statistics, statistical evaluation of unknown parameters of distributions, testing statistical hypotheses, least squares method, linear regression, elements of analysis of variance and time series analysis.
Recommended or required reading and other learning resources/tools
1. Гихман И.И., Скороход А.В., Ядренко М.И. Теория вероятностей и математическая статистика. - К.: Вища школа, 1988. 2. Огірко О. I., Галайко Н. В. Теорія ймовірностей та математична статистика: навчальний посібник. - Львів: ЛьвДУВС, 2017. - 292 с. 3. Васильків І.М. Основи теорії ймовірностей і математичної статистики: навчальний посібник. -Львів: ЛНУ імені Івана Франка, 2020. - 184 с. 4. Алілуйко А. М., Дзюбановська Н. В., Єрьоменко В. О., Мартинюк О. М., Шинкарик М. І. Практикум з теорії імовірностей та математичної статистики. Навчальний посібник для студентів економічних спеціальностей. - Тернопіль: Підручники і посібники, 2018. - 352 с. 5. Черняк О.І., Обушна О.М., Ставицький А.В. Теорія ймовірностей та математична статистика. Збірник задач. - К.Знання, 2002.
Planned learning activities and teaching methods
Information-traditional with elements of problem-oriented learning: lectures, practical classes, independent work, consultations, performance of individual calculation tasks.
Assessment methods and criteria
Semester assessment: 1. Modular test (2 tests, 20 points max. each) (LO 1.1-1.5; 2.1-2.2; 4.1-4.2) - 40 points and 24 points; 2. Independent work - calculated individual task (LO 1.1-1.6; 2.1-2.2; 4.1-4.2) - 20 points / 12 points. Final assessment: exam
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Yurii Petrovych Tadeyev
Department of Economic Cybernetics
Faculty of Economics
Maksym Mykolaiovych Lavrentiev
Department of Economic Cybernetics
Faculty of Economics

Departments

The following departments are involved in teaching the above discipline

Department of Economic Cybernetics
Faculty of Economics
Department of Economic Cybernetics
Faculty of Economics