Problems of analysis and synthesis of systems
Course: Applied Mathematics
Structural unit: Faculty of Computer Science and Cybernetics
Title
Problems of analysis and synthesis of systems
Code
ДВС.2.02
Module type
Вибіркова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2022/2023
Semester/trimester when the component is delivered
6 Semester
Number of ECTS credits allocated
5
Learning outcomes
LO 18. Communicate effectively on information, ideas, problems, and solutions with professionals and society.
PLO 21.2. Understand the main areas of applied mathematics and computer science to the extent necessary for the development of general professional mathematical disciplines, applied disciplines, and the use of their methods in a chosen profession.
PLO 24.2. Be able to apply professional knowledge, skills, and abilities in the field of applied mathematics and computer science for research of real processes of different natures.
Form of study
Full-time form
Prerequisites and co-requisites
To successfully study the discipline "Problems of analysis and synthesis of Systems" the student must meet the following requirements:
Know:
1. theoretical bases and methods of construction, verification, and research of qualitative characteristics of mathematical models.
2. principles of application of methods of simulation modeling and self-organization of mathematical models.
Be able to:
1. investigate the quantitative and qualitative characteristics of mathematical models.
2. formulate mathematical optimization problems for such models.
Have the skills:
1. basic 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 master the methods of construction, verification, and research of qualitative characteristics of mathematical models and their application to the formulation and solution of modeling and optimization problems of complex systems dynamics.
Recommended or required reading and other learning resources/tools
1. V. Kulian, M. Korobova, O. Yunkova Optimal Stock Portfolio Diversification Under Market Constraints. Systemni doslidzhennia ta informatsiini tekhnolohii. - № 1. – 2020. -s. 90-97.
2. Garashchenko F.G., Kulian V.R. Algoritm resheniya dvukriterial'noj zadachi postroeniya optimal'nogo portfelya riskovyh aktivov. Problemy upravleniya i informatiki. - № 4. - 2018. - S. 148-156.
Planned learning activities and teaching methods
Lectures, independent work, elaboration of recommended literature, homework.
Assessment methods and criteria
Semester assessment:
The maximum number of points that can be obtained by a student: is 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
Andriy
V.
Shatyrko
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
Complex systems modelling
Faculty of Computer Science and Cybernetics