Mathematical and computer modeling
Course: Applied Mathematics
Structural unit: Faculty of Computer Science and Cybernetics
            Title
        
        
            Mathematical and computer modeling
        
    
            Code
        
        
            ДВС.2.07
        
    
            Module type 
        
        
            Вибіркова дисципліна для ОП
        
    
            Educational cycle
        
        
            First
        
    
            Year of study when the component is delivered
        
        
            2022/2023
        
    
            Semester/trimester when the component is delivered
        
        
            8 Semester
        
    
            Number of ECTS credits allocated
        
        
            6
        
    
            Learning outcomes
        
        
            PLO12. Solve particular engineering problems and/or problems that arise in at least one subject area: sociology, economics, ecology, and medicine. LO 19. Collect and interpret relevant data and analyze complexities within their specialization to make judgments that reflect relevant social and ethical issues. PLO 21.1. Understand the main areas of applied mathematics and computer science, to the extent necessary for the development of general professional mathematical disciplines, applied disciplines, and the use of their methods in the chosen profession.
        
    
            Form of study
        
        
            Full-time form
        
    
            Prerequisites and co-requisites
        
        
            1. Be able to formulate and solve initial-boundary value problems of mathematical physics, solve systems of linear algebraic equations, and master methods of numerical differentiation and integration.
2. Master skills in practical construction and software implementation of algorithms and methods of classical computational mathematics in solving applied problems.
        
    
            Course content
        
        
            The purpose of the discipline: master the principles of building mathematical models of spatially distributed dynamic processes and phenomena, as well as dynamic models with aftereffects and mathematical modeling of their state in conditions of incomplete information about their external dynamic state, and develop methods for managing these processes.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            1.  Stoyan V.A. Matematychne modeliuvannia liniinykh, kvaziliniinykh i neliniinykh dynamichnykh system. – K.: VPTS "Kyivskyi Universytet", 2011. – 320 s.
2.  Stoyan V.A. Modeliuvannia ta identyfikatsiia dynamiky system z rozpodilenymy parametramy. – K.: VPTS "Kyivskyi Universytet", 2004. – 184 s.
3.  Stoyan V.A. Osnovy laboratornoho modeliuvannia prostorovo rozpodilenykh dynamichnykh system. – K.: VPTS "Kyivskyi Universytet", 2021. – 174 s.
        
    
            Planned learning activities and teaching methods
        
        
            Lectures, laboratory works, independent work.
        
    
            Assessment methods and criteria
        
        
            Semester assessment:
The maximum number of points that can be obtained by a student is 60 points:
1. Test work № 1 - 20/12 points.
2. Current evaluation - 20/12 points.
2. Test work № 2 - 20/12 points.
Final assessment in the form of an exam:
The maximum number of points that can be obtained by a student is 40 points.
- Form of conducting: written work.
- Types of tasks for each module: 1 theoretical question.
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
This discipline is taught by the following teachers
                    Volodymyr
                    A.
                    Stoyan
                
                
                    Complex systems modelling 
Faculty of Computer Science and Cybernetics
            Faculty of Computer Science and Cybernetics
                    Denys
                    Yakhievych
                    Khusainov
                
                
                    Complex systems modelling 
Faculty of Computer Science and Cybernetics
            Faculty of Computer Science and Cybernetics
Departments
The following departments are involved in teaching the above discipline
                        Complex systems modelling
                    
                    
                        Faculty of Computer Science and Cybernetics
                    
                
                        Complex systems modelling
                    
                    
                        Faculty of Computer Science and Cybernetics