PORTFOLIO МANAGEMENT
Course: Educational and professional program "Business Consulting"
Structural unit: Faculty of Economics
            Title
        
        
            PORTFOLIO МANAGEMENT
        
    
            Code
        
        
            ОК 06
        
    
            Module type 
        
        
            Обов’язкова дисципліна для ОП
        
    
            Educational cycle
        
        
            Second
        
    
            Year of study when the component is delivered
        
        
            2023/2024
        
    
            Semester/trimester when the component is delivered
        
        
            1 Semester
        
    
            Number of ECTS credits allocated
        
        
            4
        
    
            Learning outcomes
        
        
            LO 3. Communicate freely in the state and foreign languages orally and in writing on professional and scientific issues.
LO 4. Develop economic projects and systems of comprehensive actions for their implementation, taking into account their goals, expected socio-economic consequences of social problems, risks, legislative, resource and other constraints.
LO 7. To choose effective methods of economic activity management, to substantiate the offered decisions based on relevant data, scientific and applied research.
LO 9. Make effective decisions under uncertain conditions and requirements that require applying new approaches, methods, and tools of socio-economic research.
        
    
            Form of study
        
        
            Full-time form
        
    
            Prerequisites and co-requisites
        
        
            Know: the basic principles of the investment activity of companies and related investment processes, the basics of the functioning of financial markets and their regulation,
concepts of economic risk theory, basic concepts of statistics.
Possess: skills in calculating basic investment indicators, skills in analysis, processing and visualization of statistical data, possess basic approaches to business evaluation.
        
    
            Course content
        
        
            The discipline is aimed at teaching students theoretical knowledge and practical skills of modern investment portfolio management. This involves acquiring knowledge of the basic theoretical principles, approaches, and models of portfolio management, as well as the formation of practical skills in the formation
investment portfolio and its management methods. A special emphasis in the discipline is consulting on identifying investment goals and creating an investment portfolio.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            Planned learning activities and teaching methods
        
        
            Lectures, practical classes, independent work
        
    
            Assessment methods and criteria
        
        
            Assessment during the semester includes the following three main forms. The first form is performance of practical tasks. The second form is student activity while working in the classroom. Tests are the third form. A student must score 50 points during the semester, otherwise he cannot be
admitted to the credit. If the number of points on the assessment is less than 10, then the points are not added to their number received during the semester (they are considered 0 points), and the final result is considered unsatisfactory.
Assessment in the form of a final test (maximum number of points 20/minimum - 10)
        
    
            Language of instruction
        
        
            English
        
    Lecturers
This discipline is taught by the following teachers
                    Andrii
                    Borysovych
                    Kaminsky
                
                
                    Department of Economic Cybernetics 
Faculty of Economics
            Faculty of Economics
Departments
The following departments are involved in teaching the above discipline
                        Department of Economic Cybernetics
                    
                    
                        Faculty of Economics