Probability Theory and Mathematical Statistics
Course: Economics (English/Ukrainian Taught)
Structural unit: Faculty of Economics
            Title
        
        
            Probability Theory and Mathematical Statistics
        
    
            Code
        
        
            ОK 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
        
        
            6
        
    
            Learning outcomes
        
        
            PLO 5. To apply analytical and methodical tools for substantiating proposals and making managerial decisions by various economic agents (individuals, households, enterprises and government authorities).
PLO 8. To apply appropriate economic and mathematical methods and models for solving economic problems.
PLO 12. To apply the acquired theoretical knowledge to solve practical problems and interpret the obtained results in a meaningful way.
        
    
            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
        
        
            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. “Mathematical Statistics”, that discusses the main tasks of mathematical statistics, descriptive statistics, statistical estimation of unknown distribution parameters, statistical hypothesis testing, least squares method, linear regression, elements of analysis of variance.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            1.	Ross S.M. Introduction to Probability Models, 12th Edition, Academic Press, 2019. - 842p.
2.	Ross S.M. Introduction to Probability and Statistics for Engineers and Scientists, 6th Edition, Academic Press, 2020. - 704p.
3.	Roussas G. G.  An Introduction to Probability and Statistical Inference, Second Edition, Academic Press, 2015. - 606p.
4.	Leekley R. M. Applied Statistics for Business and Economics, CRC Press, 2010. – 476p.
5.	Holmes A., Illowsky B., Dean S. Introductory Business Statistics, OpenStax, 2017. – 642p.
6.	Bertsekas, D.P. and Tsitsiklis, J.N. Introduction to Probability, 2nd Edition, Athena Scientific, 2008.
7.	Grinstead, C.M.  Grinstead and Snell’s Introduction to Probability, University Press of Florida, 2009.
        
    
            Planned learning activities and teaching methods
        
        
            Lecture, practical lesson, student’s self-study
        
    
            Assessment methods and criteria
        
        
            1. Solving practical problems (LO 1.1-1.6) - 10 points / 6 points
2. Module test (2 Module tests, 20 points max. for each) (LO 1.1-1.6; 2.1-2.2; 4.1-4.2) – 40 points / 24 points;
3. The individual student’s self-study assignment (LO 1.1-1.6; 2.1-2.2; 4.1-4.2) – 25 points / 15 points;
4. Final test (РН 1.1-1.6; 2.1-2.2; 4.1-4.2) – 25 points / 15 points.
        
    
            Language of instruction
        
        
            English
        
    Lecturers
This discipline is taught by the following teachers
                    Oksana
                    Leonidivna
                    Banna
                
                
                    Department of Economic Cybernetics 
Faculty of Economics
            Faculty of Economics
Departments
The following departments are involved in teaching the above discipline
                        Department of Economic Cybernetics
                    
                    
                        Faculty of Economics