Analysis and optimization of risk
Course: Systems and methods of decision making
Structural unit: Faculty of Computer Science and Cybernetics
            Title
        
        
            Analysis and optimization of risk
        
    
            Code
        
        
            ДВВ.02
        
    
            Module type 
        
        
            Вибіркова дисципліна для ОП
        
    
            Educational cycle
        
        
            Second
        
    
            Year of study when the component is delivered
        
        
            2024/2025
        
    
            Semester/trimester when the component is delivered
        
        
            4 Semester
        
    
            Number of ECTS credits allocated
        
        
            3
        
    
            Learning outcomes
        
        
            Know the essence of the category "risk" and its main types. Know the basic methods of measuring and analyzing of risk. Know the main principles of risk management and optimization of its level.
        
    
            Form of study
        
        
            Full-time form
        
    
            Prerequisites and co-requisites
        
        
            Know: have a basic mathematical education, knowledge of basic concepts of mathematical and functional analysis, probability theory and mathematical statistics, programming, operations research, econometrics. Be able to: identify the main factors which determined of the real processes, select appropriate mathematical methods for their effective analysis and construction of formal models for this processes.
        
    
            Course content
        
        
            System analysis of the categories "uncertainty" and "risk", presentation of the basic methods of decision-making under uncertainties, modern approaches to optimization of risk and its management, examples of the risk control of the complex stochastic systems.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            1. А.А. Voina. Lectures on the basics of statistics. Koszalin. PK. 2015. – 375 p. 2. А.А. Voina. Risk in financial processes and the methods of research of the conjuncture. – Koszalin. PK. 2009, – 446 p. 3. A.A. Lobanov, A.V. Chugunov. Encyclopedia of financial risk management. – М., 2007. – 880 p. 4. А.А. Voina. Economic risk. Mathematical models and control methods. – K., 2001. – 100 p. 5. M.M. Leonenko, Yu.S. Mishura, V.M. Parkhomenko, Ya.I. Yadrenko. Probabilistic and statistical methods in econometrics and financial mathematics. – К., 1995. – 380 p. 6. A.N. Shiryaev. Fndamentals of stochastic financial mathematics. – М., 1998. 7. А.А. Voina. Risk control in multidimensional insurance models // Journal of Computational and Applied Mathematics. № 2(95). 2007, P. 13 – 23. 
        
    
            Planned learning activities and teaching methods
        
        
            Lecture, laboratory work, independent work.
        
    
            Assessment methods and criteria
        
        
            Test work, defense of laboratory work, exam.
        
    
            Language of instruction
        
        
            ukrainian
        
    Lecturers
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