Equations of mathematical physics
Course: Applied Mathematics
Structural unit: Faculty of Computer Science and Cybernetics
            Title
        
        
            Equations of mathematical physics
        
    
            Code
        
        
            Module type 
        
        
            Обов’язкова дисципліна для ОП
        
    
            Educational cycle
        
        
            First
        
    
            Year of study when the component is delivered
        
        
            2021/2022
        
    
            Semester/trimester when the component is delivered
        
        
            5 Semester
        
    
            Number of ECTS credits allocated
        
        
            8
        
    
            Learning outcomes
        
        
            LO 3. Formalize problem sets up in the language of a particular subject area; define their mathematical formulation and choose a rational problem-solving approach; solve the obtained problems with analytical and numerical methods, evaluate the accuracy and reliability of the results obtained. 
LO 6. Be able to apply basic methods of building discrete and continuous mathematical models of objects and processes, analytical study of these models for the existence and uniqueness of their solution.
PLO 23.1. Be able to use professional knowledge, skills and abilities in the field of computational mathematics and computer science to model real processes of different nature. 
        
    
            Form of study
        
        
            Full-time form
        
    
            Prerequisites and co-requisites
        
        
            1. Know: the basic concepts of algebra, mathematical analysis, differential equations, functional analysis at the basic level (the volume of the first and second courses of the university specialty Applied Mathematics).
2. Be able to: differentiate, integrate, investigate the convergence of series and improper integrals, solve and investigate systems of linear algebraic equations, ordinary differential equations.
3.Have basic skills: working with a computer, searching for information on the Internet, using translation systems
        
    
            Course content
        
        
            Module 1. Fredholm integral equations of the second kind, Sturm-Liouville problem. Lectures - 12 h, practical - 12 h, independent work - 28 h.
Fredholm's theorems.
Integral equations with a Hermitian nucleus.
The Sturm-Liouville problem.
Module 2. Mathematical models of physical processes. Statement of boundary value problems. Lectures - 14 h, practical - 14 h, independent work - 36 h.
Heat and diffusion models.
Models of elasticity.
Perfect fluid models.
Models of electrostatics and magnetostatics.
Classification of equations in partial derivatives.
Statement of problems of mathematical physics.
Module 3. Methods for solving boundary value problems (BVP). Lectures - 18 h, practical - 22 h, independent work - 40 h.
Methods for constructing solutions of BVP.
Harmonic functions.
Potential theory for the study of BVP.
Generalized solutions of BVP.
Module 4 Generalized solutions of boundary value problems. Lectures - 8 h, practical - 6 h, independent work - 24 h.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            5. A.V. Kuzmin Konspekt kursu lektsIy RIvnyannya matematichnoYi fIziki http://195.68.210.50/moodle.
        
    
            Planned learning activities and teaching methods
        
        
            Lectures, independent work, recommended literature processing, homework.
        
    
            Assessment methods and criteria
        
        
            5 semester
Semester assessment:
Maximum number of points that can be obtained by a student: 100:
1.Test 1: PH 1.1, PH 2.1 - 20  / 11 pts.
2.Test work 2: PH 1.1, PH 1.3, PH 2.1 - 20 / 11 pts.
3.Colloquium 1 PH 1.1, PH 1.3, PH 2.1 - 20 / 11 pts.
4.Homework check - 20 / 11 pts.
5.Work on practical classes - 20 / 11 pts.
Final assessment (in the form of a test):
6 semester
Semester assessment:
Maximum number of points that can be obtained by a student: 60:
1.Test 1: PH 1.1, PH 2.1 - 15 / 9 pts.
2.Test work 2: PH 1.1, PH 1.3, PH 2.1 - 15 / 9 pts.
3.Colloquium 1 PH 1.1, PH 1.3, PH 2.1 - 15 / 9 pts.
4.Work on practical classes - 15 / 9 pts.
Final assessment (in the form of an exam):
Maximum number of points: 40.
1.Learning outcomes to be evaluated: PH1.1, PH1.2, PH1.3, PH1.4, 2.1, PH2.3;
2.Form of conducting and types of tasks: written with defense of the answer, 10 theoretical questions (2 p. for each) and two practical tasks (10 p. each).
        
    
            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
                    Olena
                    
                    Kashpur
                
                
                    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