Probability theory and mathematical statistics

Course: Economics and Economic Policy

Structural unit: Faculty of Economics

Title
Probability theory and mathematical statistics
Code
ОК 1.13.
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
4
Learning outcomes
PRS8. To apply appropriate economic and mathematical methods and models for solving economic problems in the field of economics and economic policy. PRS15. To demonstrate the basic skills of creative and critical thinking in research and professional communication PRS21. To be able to think abstractly, apply analysis and synthesis to identify the key characteristics of economic systems of various levels, as well as the peculiarities of their subjects' behavior.
Form of study
Distance form
Prerequisites and co-requisites
1. Know: basic concepts of higher mathematics, in particular methods of calculating the limits of numerical sequences and functions, the concept of a numerical series, methods of researching the convergence of numerical series, methods of calculating integrals, set theory. 2. To have the skills of calculating the limits of numerical sequences, calculating integrals.
Course content
The program of the academic discipline consists of two content modules: Content module 1. "Probability theory", which examines 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 deals with the main tasks of mathematical statistics, descriptive statistics, statistical evaluation of unknown parameters of distributions, testing of statistical hypotheses, the method of least squares, linear regression, elements of variance analysis and time series analysis.
Recommended or required reading and other learning resources/tools
1.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. 2. Васильків І.М. Основи теорії ймовірностей і математичної статистики: навчальний посібник. – Львів: ЛНУ імені Івана Франка, 2020. – 184 с. 3. Огірко О. І., Галайко Н. В. Теорія ймовірностей та математична статистика: навчальний посібник. – Львів: ЛьвДУВС, 2017. – 292 с. 5. Черняк О.І., Кравець Т.В., Ляшенко О.І. Буяк Л.М., Банна О.Л., Башуцька О.С. Теорія ймовірностей та математична статистика. Практикум: навчальний посібник. – Т.: ТНЕУ, 2019. – 251 с. 6. Holmes A., Illowsky B., Dean S. Introductory Business Statistics, OpenStax, 2017. – 642p.
Planned learning activities and teaching methods
Lecture, practical session
Assessment methods and criteria
1. Participation in seminars (oral survey, calculation tasks, test) - Max. 20 points / Min. 12 points; 2. Modular control work 1 – Max. 10 points / Min. 6 points; 3. Modular control work 2 – Max. 10 points / Min. 6 points; 4. Independent work – calculated individual task–Max. 20 points / Min. 12 points.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Yurii Petrovych Tadeyev
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