Uncertainty and grouping of information
Course: Systems and methods of decision making
Structural unit: Faculty of Computer Science and Cybernetics
            Title
        
        
            Uncertainty and grouping of information
        
    
            Code
        
        
            ОК.19
        
    
            Module type 
        
        
            Обов’язкова дисципліна для ОП
        
    
            Educational cycle
        
        
            Second
        
    
            Year of study when the component is delivered
        
        
            2021/2022
        
    
            Semester/trimester when the component is delivered
        
        
            2 Semester
        
    
            Number of ECTS credits allocated
        
        
            4
        
    
            Learning outcomes
        
        
            Know and understand the principles and methods of analysis and evaluation of tasks that contribute to the further development of effective use of information resources of decision-making systems.
 
        
    
            Form of study
        
        
            Full-time form
        
    
            Prerequisites and co-requisites
        
        
            Know: data representation structures, their classification and clustering based on the use of mathematical methods and information systems and decision support systems. Be able to: formalize data presentation in conditions of uncertainty, apply in practice software tools for software design and development.
        
    
            Course content
        
        
            Fuzzy sets as a means of formalizing uncertainty. Review and application of methods of classification and clustering of informal data. Grouping on graphs. Clustering of computing resources in the creation and organization of information systems. Application of containerization and cloud technologies.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            4. Ívokhín Ê.V. Odin metod klasterizatsíí̈ skladenikh nechítkikh mnozhin / Ê.V.Ívokhín, K.O.Kosins'kiy// Zhurnal obchislyuval'noí̈ ta prikl.matematiki. – 2007. – №2. – P.54-58. 7. Jamba M. Hierarchical cluster analysis and compliance / M. Jamba. - Moscow: Finance and Statistics, 1988. – 345 p.
        
    
            Planned learning activities and teaching methods
        
        
            Lecture, independent work.
        
    
            Assessment methods and criteria
        
        
            Test work, test.
        
    
            Language of instruction
        
        
            ukrainian
        
    Lecturers
This discipline is taught by the following teachers
                    Eugen
                    V.
                    Ivokhin
                
                
                    System analysis and decision making theory 
Faculty of Computer Science and Cybernetics
            Faculty of Computer Science and Cybernetics
Departments
The following departments are involved in teaching the above discipline
                        System analysis and decision making theory
                    
                    
                        Faculty of Computer Science and Cybernetics