Numerical Methods
Course: System Analysis
Structural unit: Faculty of Computer Science and Cybernetics
            Title
        
        
            Numerical Methods
        
    
            Code
        
        
            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
        
        
            5 Semester
        
    
            Number of ECTS credits allocated
        
        
            3
        
    
            Learning outcomes
        
        
            Know the basics of calculation methods.
Know the numerical methods of analysis.
Be able to apply numerical methods in practice.
Be able to write technical documentation on the results of solving the problem.
        
    
            Form of study
        
        
            Distance form
        
    
            Prerequisites and co-requisites
        
        
            1. Know information on mathematical analysis.
2. Know information on linear algebra.
3. Know information from differential equations.
4. Know the basics of programming.
5. Be able to create software applications for calculations and visualization of results.
        
    
            Course content
        
        
            The discipline "Numerical Methods" is part of the cycle of professional training in systems analysis. The course describes the main numerical methods for finding approximate solutions of problems in computational mathematics: finding solutions of nonlinear equations, systems of linear algebraic equations, Cauchy problems, boundary value problems, calculating integrals, approximation of functions, finding solutions with given accuracy. Discipline is a must. She uses the concepts of mathematical analysis, linear algebra, differential equations.
The course is taught in the 5th semester, 90 hours (3 ECTS credits), of which lectures - 28 hours, laboratory - 14 hours, consultations - 2 hours, independent work - 46 hours. There are 2 content parts and a test.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            1. Golubeva KM, Denisov SV, Kashpur OF, Klyushin DA, Ryzhenko AI Numerical methods of integration. - Publisher: Lesya. - 2019. - 55p.
8. Makarov VL, Gavrilyuk IP Calculation methods. Kyiv, Higher School, 1995
        
    
            Planned learning activities and teaching methods
        
        
            Lecture, laboratory work.
        
    
            Assessment methods and criteria
        
        
            Defense of laboratory work
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline