Dynamic systems control

Course: Software Engineering

Structural unit: Faculty of Computer Science and Cybernetics

Title
Dynamic systems control
Code
ННД.23
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2022/2023
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
6
Learning outcomes
LO01. Analyze, purposefully search for, and select the necessary information and reference resources and knowledge to solve professional problems, taking into account modern advances in science and technology.
Form of study
Full-time form
Prerequisites and co-requisites
To successfully study the discipline the student must meet the following requirements: 1. Know theoretical information on mathematical analysis, discrete mathematics, algebra, optimization methods, analytical geometry, physics, mechanics, and the basics of various software packages. 2. Be able to: find derivatives, calculate integrals, solve systems of linear algebraic equations with parameters, have methods of matrix algebra, use the basic laws of physics, use packages of mathematical programs 3. Have the skills: independent and collective work in solving mathematical problems, in English at a level not lower than Intermediate.
Course content
The purpose of the discipline - introduction to methods for solving different types of ordinary differential equations, partial differential equations, systems of differential equations, formulation and solution of Cauchy problems; mastering the basic theoretical principles of control theory, principles and methods of solving problems related to the control of complex systems and mastering practical skills in solving control problems.
Recommended or required reading and other learning resources/tools
1. Khusainov D.Ya., Byckov O. Dyferentsialni rivniannia. Navchalnii posibnyk. – K. VPTs “Kyiv University” - 2001. – 132 p. 2. C. Henry Edwards, David E. Penny. Differential Equations and Boundary Value Problems. Computing and Modeling. - Prentice Hall, Inc., - 2004. 3. Krak Yu., Shatyrko A. Teoriia keruvannia dlia informatykiv. Pidruchnyk. – K. - VPTs “Kyiv University” - 2015. – 175 p.
Planned learning activities and teaching methods
Lectures, laboratory classes, independent work.
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

Maryna V. Korobova
Complex systems modelling
Faculty of Computer Science and Cybernetics
Volodymyr T. Matvienko
Complex systems modelling
Faculty of Computer Science and Cybernetics
Ihor Ivanovych Kharchenko
Complex systems modelling
Faculty of Computer Science and Cybernetics
Denys Yakhievych Khusainov
Complex systems modelling
Faculty of Computer Science and Cybernetics
Andriy V. Shatyrko
Complex systems modelling
Faculty of Computer Science and Cybernetics