Mathematical modeling of investment dynamics
Course: Business Informatics
Structural unit: Faculty of Computer Science and Cybernetics
            Title
        
        
            Mathematical modeling of investment dynamics
        
    
            Code
        
        
            ННД.09
        
    
            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
        
        
            1 Semester
        
    
            Number of ECTS credits allocated
        
        
            3
        
    
            Learning outcomes
        
        
            LO01. Identify problem situations, perform their research based on a systems approach and its principles, make an informed choice of models and methods for effective management decisions, apply models and decision-making methods in the study of business processes in organizations, 15 forecasting enterprise development and subject area of computer science.
LO03. Learn new tools for working with data, searching and processing information in networks for forecasting business processes and situational management, SWOP-analysis, feedback, development of information-analytical systems for business processes in technology, economic and social systems, e-commerce, media, social networks, banking, advertising, health care, etc.
LO04. LO08. LO0-11. LO0-12.
http://csc.knu.ua/media/filer_public/53/11/5311134f-9327-4d0c-ab9f-6dabb1d79c7c/mag_122bi_2018__.pdf
        
    
            Form of study
        
        
            Full-time form
        
    
            Prerequisites and co-requisites
        
        
            To successfully study the discipline "Mathematical modeling of investment dynamics" the level of knowledge and skills of the student must meet the following requirements:
Know:
1. fundamental principles and practical approaches to the construction and analysis of qualitative characteristics of mathematical models.
2. rules of application of methods of simulation modeling and self-organization of mathematical models.
Be able:
1. determine and analyze the quantitative and qualitative characteristics of mathematical models.
2. formulate mathematical optimization problems for such models and outline ways to solve them.
Have the skills:
1. 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 expand theoretical knowledge and practical approaches to the application of methods of mathematical and computer modeling of the dynamics of complex systems in solving mathematical and applied decision-making problems in financial markets.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            1. Harashchenko F.H., Kulian V.R., Yunkova O.O. Pro dvokryterialnu optymizatsiiu portfelia aktsii.  Systemni doslidzhennia i informatsiini tekhnolohii. - №. 3. - 2017. - S. 12-21.
        
    
            Planned learning activities and teaching methods
        
        
            Lectures, independent work, elaboration of recommended literature, homework.
        
    
            Assessment methods and criteria
        
        
            Semester assessment: 
A maximum number of points that can be obtained by a student: 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
Departments
The following departments are involved in teaching the above discipline
                        Complex systems modelling
                    
                    
                        Faculty of Computer Science and Cybernetics