Theory of difference schemes
Course: Applied Mathematics
Structural unit: Faculty of Computer Science and Cybernetics
            Title
        
        
            Theory of difference schemes
        
    
            Code
        
        
            Module type 
        
        
            Вибіркова дисципліна для ОП
        
    
            Educational cycle
        
        
            First
        
    
            Year of study when the component is delivered
        
        
            2021/2022
        
    
            Semester/trimester when the component is delivered
        
        
            7 Semester
        
    
            Number of ECTS credits allocated
        
        
            1
        
    
            Learning outcomes
        
        
            LO 6. Have the basic methods of analytical research of mathematical models of objects and processes for the existence and uniqueness of their solution.
LO 10. Build algorithms that are efficient in terms of calculation accuracy, stability, speed and cost of system resources for numerical study of mathematical models and solving practical problems.
LO 12. Be able to apply modern technologies of programming and software development, software implementation of numerical and symbolic algorithms.
LO 16. Be able to organize their own activities and get results within a limited time.
LO 19. Communicate effectively on information, ideas, problems and solutions with professionals and society as a whole.
PLO 21.  Demonstrate professional communication skills, including oral and written communication in Ukrainian and at least one of the common European languages.
PLO 26.1.  Be able to use computer systems to implement computational algorithms and mathematical modeling.
        
    
            Form of study
        
        
            Distance form
        
    
            Prerequisites and co-requisites
        
        
            Students must know the relevant sections of the methods of approximate calculations, namely finite-difference methods for solving boundary value problems, methods of linear algebra, approximation of operators; methods of functional analysis; differential equations; Fourier series theory and other mathematical methods.
        
    
            Course content
        
        
            The purpose and objectives of the discipline "Theory of difference schemes" is to get acquainted with the problems of numerical modeling of physical processes, including hydrodynamics, study general approaches to numerical modeling that arise in hydrodynamics, and learn techniques for constructing difference algorithms with necessary properties.
Course structure. The subject "Theory of difference schemes" includes questions of linear and Hilbert spaces, Sobolev spaces, basic types of problems of mathematical physics, generalized problem statements, correctness of mathematical methods, computational schemes, practical use of developed system tools to solve problems of numerical modeling. mathematics and mathematical physics.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            1. Patrick J. Roache. Computational Fluid Dynamics.  Hermosa Publishers, 1976 - 446 p. 
2.	 Dale A. Anderson, John C. Tannehill, Richard H. Pletcher. Computational Fluid Mechanics and Heat Transfer (Computational and Physical Processes in Mechanics and Thermal Sciences) 3rd Edition. CRC Press. 2011. - 974 p. 
3.	 Hryshchenko O.Yu., Lyashko S.I. Metody Furye ta pershoho dyferentsialnoho nablyzhennya v teoriyi riznytsevykh skhem. – VPTs ”Kyyivskyy universytet”, 2005 –84 s. 
4.	 O.Yu. Hryshchenko, V.I.Lyashko, Onotskyy V.V. Dvokrokovi riznytsevi alhorytmy dlya hiperbolichnykh rivnyan pershoho poryadku z kerovanoyu shtuchnoyu vyazkistyu. // Zhurnal obchyslyuvalnoyi ta prykladnoyi matematyky. -2001. - №1(86). S. 20-28. 
5.	 Hryshchenko O.Yu., Lyashko S.I., Molodtsov O.I. Chyselne modelyuvannya protsesiv relaksatsiynoyi hazovoyi dynamiky. –K.: IZMN 1997.– 224 s. 
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            Planned learning activities and teaching methods
        
        
            Lectures, independent work.
        
    
            Assessment methods and criteria
        
        
            - semester assessment:
1. Test 1: 15 points / 9 points.
2. Test 2: 15 points / 9 points.
3. Summary: 15 points / 9 points.
3. Report: 15 points / 9 points.
A student is admitted to the exam if he scored more than 36 points during the semester.
To obtain an overall positive grade in the discipline, the grade for the exam can not be
less than 24 points.
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
This discipline is taught by the following teachers
                    Computational Mathematics 
Faculty of Computer Science and Cybernetics
            Faculty of Computer Science and Cybernetics
                    Computational Mathematics 
Faculty of Computer Science and Cybernetics
            Faculty of Computer Science and Cybernetics
Departments
The following departments are involved in teaching the above discipline
                        Computational Mathematics
                    
                    
                        Faculty of Computer Science and Cybernetics
                    
                
                        Computational Mathematics
                    
                    
                        Faculty of Computer Science and Cybernetics