Mathematics for Economists (basic level)
Course: Management of Organizations
Structural unit: Faculty of Economics
            Title
        
        
            Mathematics for Economists (basic level)
        
    
            Code
        
        
            ОК 1.4
        
    
            Module type 
        
        
            Обов’язкова дисципліна для ОП
        
    
            Educational cycle
        
        
            First
        
    
            Year of study when the component is delivered
        
        
            2022/2023
        
    
            Semester/trimester when the component is delivered
        
        
            1 Semester
        
    
            Number of ECTS credits allocated
        
        
            6
        
    
            Learning outcomes
        
        
            PLO 6. Demonstrate skills of search, collection and analysis of information, calculation of indicators to justify management decisions.
PLO 16. Demonstrate skills of independent work, flexible thinking, openness to new knowledge, be critical and self-critical.
        
    
            Form of study
        
        
            Full-time form
        
    
            Prerequisites and co-requisites
        
        
            None
        
    
            Course content
        
        
            Content module 1. "Linear algebra. Introduction to mathematical analysis. Differential calculus of a function of one variable", which discusses the basic concepts of analytic geometry and algebra, algebraic theorem, methods for solving systems of linear equations, functions, boundaries of sequences and functions, the basic theorems of differential calculus, as well as the application of the derivative in the study of functions and construction of their graphs.
Content module 2. "Differential calculus of functions of many variables, solving extremum problems, Lagrange multiplier method, least squares method, as well as basic methods of integrating functions and application of integrals in economics.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            1. Алілуйко А. М. Вища математика у прикладах і задачах для економістів / Алілуйко А. М., Дзюбановська Н. В.. Лесик О. Ф., Неміш В. М., Новосад І. Я., Шинкарик М. І. - Тернопіль: ТНЕУ, 2017. - 148 с. 
2. Барковський В. В., Барковська Н. В. Математика для економістів. - Київ, Центр навчальної літератури, 2019. - 448 с. 
3. Вища математика: підручник / О. Бойко, О. Черняк, В. Пономаренко, О. Ляшенко, Л. Малярець, Л. Любчик, О. Станжицький, В. Хрістіановський, А. Янцевич. - Харків: Фоліо. 2014. - 669 с. 
4. Вища математика для економістів : підручник / О. Ляшенко, О. Черняк, Т. Кравець та ін. - К.: Видавничо-поліграфічний центр "Київський університет", 2008. - 547 с. 
5. Железняк Г., Литвин І., Конончук О. Вища математика. - Київ: Центр навчальної літератури, 2019. - 368 с.
        
    
            Planned learning activities and teaching methods
        
        
            Information-traditional with elements of problem-oriented learning: lectures, practical classes, independent work, consultations, individual calculation assignments.
        
    
            Assessment methods and criteria
        
        
            Forms of student assessment (maximum points 60 / minimum points 36):
1. Survey and problem solving (LO 1.1-1.5; 2.1-2.2; 4.1-4.2) - 20 points / 12 points;
2. Modular test (2 Modular tests, 20 points max. еach) (PH 1.1-1.5; 2.1-2.2; 4.1-4.2) - 40 points / 24 points.
Final assessment in the form of an exam.
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
This discipline is taught by the following teachers
                    Olena
                    Ihorivna
                    Liashenko
                
                
                    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