Mathematical demography and modeling of random processes. Module 2. Modeling of random processes
Course: System Analysis
Structural unit: Faculty of Computer Science and Cybernetics
            Title
        
        
            Mathematical demography and modeling of random processes. Module 2. Modeling of random processes
        
    
            Code
        
        
            Module type 
        
        
            Вибіркова дисципліна для ОП
        
    
            Educational cycle
        
        
            First
        
    
            Year of study when the component is delivered
        
        
            2024/2025
        
    
            Semester/trimester when the component is delivered
        
        
            6 Semester
        
    
            Number of ECTS credits allocated
        
        
            2
        
    
            Learning outcomes
        
        
            Know and understand the basic methods of modeling random processes.
Be able to calculate or evaluate basic numerical indicators for random processes.
Demonstrate the ability to self-study and continue professional development.
Be able to organize their own activities and get results within a limited time.
Demonstrate skills of interaction with other people, ability to work in teams.
        
    
            Form of study
        
        
            Full-time form
        
    
            Prerequisites and co-requisites
        
        
            Know: basics of discrete mathematics, probability theory and mathematical statistics
Be able to: formalize the conditions of problems and make a solution plan
Have basic skills: solve typical problems in probability theory, mathematical statistics and discrete mathematics.
        
    
            Course content
        
        
            The discipline "Modeling of random processes" is an integral part of the cycle of professional training of specialists of educational and qualification level "bachelor"; it includes the study of basic random processes, namely, homogeneous and inhomogeneous Poisson processes, composite Poisson process, Gaussian processes, the study of different modeling methods for them. It is also mandatory to master the basic formulas and methods of their application. Particular attention is paid to the application of stochastic models of mathematics in the study of methods for generating random variables and processes. Students are introduced to the basic definitions, given the interpretation of formulas, and uses the software environment R to implement the above methods and build trajectories of random processes. 
Taught in the 6th semester, 75 hours. (2 ECTS credits), of which lectures - 34 hours, consultations - 1 hour, independent work - 40 hours. There are 2 content parts and an exam.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            1. Kozachenko YV, Pashko AO, Rozora IV Modeling of random processes and fields: Monograph.- K .: VPC "Zadruga", 2007, 230p.
3. Ross, Sheldon M. Simulation.-2nd ed. Academic Press, 1997.
5. Dovgai BV, Kozachenko YV, Slivka-Tilishchak GI Boundary value problems of mathematical physics with random factors: Monograph. - Kyiv: Kyiv University Publishing and Printing Center, 2008. - 173 p.
        
    
            Planned learning activities and teaching methods
        
        
            Lecture, individual work
        
    
            Assessment methods and criteria
        
        
            Current assessment, control work, exams
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
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