Computer-analytical modeling

Course: Applied mathematics

Structural unit: Faculty of Computer Science and Cybernetics

Title
Computer-analytical modeling
Code
ДВВ.05
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
PLO4. Be able to determine the type of data integration required for a task. PLO9. Collect and interpret relevant data and analyze complexities within their specialization to make judgments that reflect relevant social and ethical issues.
Form of study
Full-time form
Prerequisites and co-requisites
1. Be able to: formulate and solve initial-boundary value problems of mathematical physics, solve systems of linear algebraic equations, master methods of numerical differentiation and integration. 2. Master: skills of practical construction and software implementation of algorithms and methods of classical computational mathematics in solving applied problems.
Course content
The purpose of the discipline: mastering the principles of constructing mathematical models of spatially distributed dynamic processes and phenomena, as well as mathematical modeling of their state in the conditions of the incompleteness of information about their external-dynamic state and methods of managing it. As a result of studying the discipline, a student must: be able to understand the problems and solve direct and inverse initial-boundary problems of the dynamics of spatially distributed systems, incorrectly formulated in the number and quality of initial-boundary observations, master the methods of their practical program implementation.
Recommended or required reading and other learning resources/tools
1. Stoyan V.A. Matematychne modeliuvannia liniinykh, kvaziliniinykh i neliniinykh dynamichnykh system. – K.: VPTS "Kyivskyi Universytet", 2011. – 320 s. 2. Stoyan V.A. Modeliuvannia ta indentifikatsiia dynamiky system z rozpodilenymy parametramy. – K.: VPTS "Kyivskyi Universytet", 2004. – 184 s. 3. Stoyan V.A. Laboratorne modeliuvannia prostorovo rozpodilenykh dynamichnykh system. – K.: VPTS "Kyivskyi Universytet", 2021. – 174 s.
Planned learning activities and teaching methods
Lectures, laboratory works, independent work.
Assessment methods and criteria
Semester assessment: A maximum number of points that can be obtained by a student: 60 points. 1. Current assessment - 12/7 points 2. Oral answers - 12/7 points. 3. Current evaluation - 12/7 points. 4. Oral answers - 12/7 points. 5. Oral answers - 12/8 points. Final assessment in the form of an exam: Maximum number of points that can be obtained by a student: 40 points; Form of conducting: written work; Types of tasks 3 written tasks (2 theoretical questions of 10 points and 1 practical task - 20 points).
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Volodymyr A. Stoyan
Complex systems modelling
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