Probability theory and mathematical statistics

Course: Educational program Accounting and Taxation

Structural unit: Faculty of Economics

Title
Probability theory and mathematical statistics
Code
OK 1.12
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
2 Semester
Number of ECTS credits allocated
5
Learning outcomes
PL14. Be able to apply economic and mathematical methods in the chosen profession. PL15. Possess general scientific and special methods of research of socio-economic phenomena and economic processes at the enterprise.
Form of study
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
The curriculum consists of two content modules: 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
Planned learning activities and teaching methods
Lectures, practical classes, consultations, independent work
Assessment methods and criteria
Semester assessment: 1. Modular test (2 MCR, 20 points max. Each) (PH 1.1-1.5; 2.1-2.2; 4.1-4.2) - 40 points / 24 points; 2. Independent work - calculated individual task (RN 1.1-1.6; 2.1-2.2; 4.1-4.2) - 20 points / 12 points. Final evaluation: A student is not allowed to take the exam if he / she received less than 36 points during the semester.
Language of instruction
Ukrainiane

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