Problems of analysis and synthesis of systems
Course: Applied Mathematics
Structural unit: Faculty of Computer Science and Cybernetics
            Title
        
        
            Problems of analysis and synthesis of systems
        
    
            Code
        
        
            ДВС.2.02
        
    
            Module type 
        
        
            Вибіркова дисципліна для ОП
        
    
            Educational cycle
        
        
            First
        
    
            Year of study when the component is delivered
        
        
            2023/2024
        
    
            Semester/trimester when the component is delivered
        
        
            6 Semester
        
    
            Number of ECTS credits allocated
        
        
            5
        
    
            Learning outcomes
        
        
            LO 18. Communicate effectively on information, ideas, problems, and solutions with professionals and society.
PLO 21.2. 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 a chosen profession.
PLO 24.2. Be able to apply professional knowledge, skills, and abilities in the field of applied mathematics and computer science for research of real processes of different natures.
        
    
            Form of study
        
        
            Full-time form
        
    
            Prerequisites and co-requisites
        
        
            To successfully study the discipline "Problems of analysis and synthesis of Systems" the student must meet the following requirements:
Know:
1. theoretical bases and methods of construction, verification, and research of qualitative characteristics of mathematical models.
2. principles of application of methods of simulation modeling and self-organization of mathematical models.
Be able to:
1. investigate the quantitative and qualitative characteristics of mathematical models.
2. formulate mathematical optimization problems for such models.
Have the skills:
1. basic skills in using MATLAB and STATISTICA application packages.
2. in English at a level not lower than Intermediate.
        
    
            Course content
        
        
            The purpose of the discipline is to master the methods of construction, verification, and research of qualitative characteristics of mathematical models and their application to the formulation and solution of modeling and optimization problems of complex systems dynamics.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            1. Kyrylych V.M. Rekursyvni metody dynamichnoi ekonomiky / V.M. Kyrylych, V.A. Kozytskyi. – Lviv: VTs LNU imeni Ivana Franka, 2012. – 84 p.
2. Kulian V.R. Metody optymalnoho keruvannia v zadachakh dyversyfikatsii portfelia invectytsii. Visnyk KNU imeni Tarasa Shevchenka,. S.: kibernetyka. – vyp. 1(15). – 2015. – pp. 18-32.
3. Kulian V.R. Matematychne modeliuvannia ta optymizatsiia finansovo-ekonomichnykh protsesiv. Kurs lektsii. [Elektronnyi resurs]. Rezhym dostupu www.195.68.210.50/moodle/. – 2012. – 84 p.
4. Kulian V.R., Yunkova O.O. Matematychne modeliuvannia ta optymizatsiia finansovo-ekonomichnykh protsesiv. Navchalnyi posibnyk. K.: «Kyivskyi universytet», – 2014. – 112 p.
5. Krak Yu.V., Shatyrko A.V. Teoriia keruvannia dlia informatykiv. Pidruchnyk. VPTs Kyivskyi un-t. Kyiv. 2015. 175 p.
        
    
            Planned learning activities and teaching methods
        
        
            Lectures, independent work, elaboration of recommended literature, homework.
        
    
            Assessment methods and criteria
        
        
            Semester assessment: 
The maximum number of points that can be obtained by a student: is 60 points:
Test work №1: - 20/12 points. 
Test work № 2: - 20/12 points.
Current evaluation - 20/12 points. 
Final assessment in the form of an exam.
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
This discipline is taught by the following teachers
                    Victor
                    R.
                    Kulian
                
                
                    Complex systems modelling 
Faculty of Computer Science and Cybernetics
            Faculty of Computer Science and Cybernetics
                    Andriy
                    V.
                    Shatyrko
                
                
                    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