Numerical Methods
Course: Computer science
Structural unit: Faculty of information Technology
            Title
        
        
            Numerical Methods
        
    
            Code
        
        
            ОК 17
        
    
            Module type 
        
        
            Обов’язкова дисципліна для ОП
        
    
            Educational cycle
        
        
            First
        
    
            Year of study when the component is delivered
        
        
            2024/2025
        
    
            Semester/trimester when the component is delivered
        
        
            3 Semester
        
    
            Number of ECTS credits allocated
        
        
            5
        
    
            Learning outcomes
        
        
            PR6.Use the methods of numerical differentiation and integration of functions, solving ordinary differential and integral equations, features of numerical methods and the possibilities of their adaptation to engineering problems, have skills in software implementation of numerical methods.
PR17.Perform parallel and distributed calculations, apply numerical methods and algorithms for parallel structures, parallel programming languages in the development and operation of parallel and distributed software.
CK4The ability to use modern methods of mathematical modeling of objects, processes and phenomena, to develop models and algorithms for the numerical solution of mathematical modeling problems, to take into account the errors of the approximate numerical solution of professional problems.
        
    
            Form of study
        
        
            Full-time form
        
    
            Prerequisites and co-requisites
        
        
            Know the basics of higher mathematics (linear algebra, basics of mathematical analysis, differential equations, integral and differential calculus).
Have the skills to work with tools for implementing methods and algorithms, develop appropriate programs in high-level languages, packages for scientific research.
        
    
            Course content
        
        
            During the study of the discipline, basic methods and algorithms for solving nonlinear equations and systems, exact and iterative methods for solving systems of linear algebraic equations, methods of interpolation, numerical differentiation and integration, methods for solving the Cauchy problem and boundary value problem for differential equations and systems
The discipline is aimed at forming students' competencies and abilities to apply numerical methods to solve practical problems; to use modern methods of mathematical modeling of objects, processes and phenomena, to develop models and algorithms for the numerical solution of mathematical modeling problems, to take into account the errors of the approximate numerical solution of professional problems.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            Чисельні методи: Навчальний посібник. / Волонтир Л.О, Зелінська, О.В., Потапова Н.А., Чіков І.А., Вінницький національний аграрний університет. – Вінниця: ВНАУ, 2020 – 322 с.
Ляшенко Б.М. , Кривонос О.М., Вакалюк Т.А.  Методи обчислень: навчально-методичний посібник для студентів фізико-математичного факультету. – Житомир: Вид-во ЖДУ, 2014. – 228 c.
Числові методи: навчальний посібник / С. М. Москвіна - Вінниця: ВНТУ, 2013. - 326 с.
John H. Methews Kurtis D. Fink  Numerical Methods. Using Matlab. Third Edition, 2011,-720p.  
David Kachaner., Cleve Moler, Stephen Nash Numerical Methods and SoftwarePrentice-Hall International, Inc., 2011. –575 p.
Demmel J. Computational linear algebra. Theory and application. , 2011. –430 p. 
        
    
            Planned learning activities and teaching methods
        
        
            Lectures, Laboratory classes,  Student's work independently
        
    
            Assessment methods and criteria
        
        
            During the semester, students perform laboratory work and present their results to the audience, and two written control works are also conducted. 
With the prior agreement of the teacher, students can be credited with the results of their learning, confirmed by certificates from the online platform Coursera, as part of their lab work. 
The maximum number of points a student can receive for their work during the semester is 100 points.
The form of the final evaluation is the credit. The assessment is carried out by issuing a final grade, which is defined as the sum of points for all successfully assessed learning outcomes. 
To receive credit, it is mandatory for students to complete all laboratory work (minimum score - 48 points, maximum - 80 points) and write the control works (minimum score - 12 points, maximum - 20 points). When the resulting final score is 60 or higher, the student is credited.
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline