System optimization

Course: System Analysis

Structural unit: Faculty of Computer Science and Cybernetics

Title
System optimization
Code
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
5 Semester
Number of ECTS credits allocated
3
Learning outcomes
Know the basic definitions, formulas, concepts, coordination problems and methods of iterative coordination. Know the basic definitions, formulas, concepts, problem-solving without iterative coordination and methods of solving them. Know the basic definitions, formulas, concepts, problems of system optimization and methods of solving them for linear systems. Be able to apply the basics of coordination theory, system optimization and in practice to find the optimal effective solutions for the problem of order distribution in the corporation. Be able to apply the basics of coordination theory, system optimization for the problem of profit distribution in the corporation. Be able to apply the basics of coordination theory, system optimization for the task of building the best principle of corporate governance depending on the tax system.
Form of study
Distance form
Prerequisites and co-requisites
Know the basic concepts of mathematical analysis, algebra, discrete mathematics, theory probabilities, operations research. Be able to solve typical problems from these courses. Have basic skills: solve operations research problems. To access the discipline "System Optimization" of the educational-professional program "System Analysis" the student must master the competencies and learning outcomes provided by the disciplines "Differential Equations", "Algebra and Geometry". The discipline "System Optimization" is the basis for mastering the disciplines "Management Information Technology", "Applied Problems of Decision Theory and Systems Analysis", "Methods of Optimization of Large-Scale Systems", "Mathematical Models of Systems Analysis of Economics", "Crisis Decision Making" , etc.
Course content
The discipline "System Optimization" is part of the educational and professional training program for the first (bachelor's) level of higher education in the field of knowledge "Information Technology" in the specialty 124 - "System Analysis", educational and professional program - "System analysis". This course is a compulsory subject in the System Analysis program. It is taught in the 5th semester of the 3rd year in the amount of 150 hours. (5 ECTS credits), in particular: lectures - 30 hours, laboratory work - 40 hours, independent work - 78 hours, consultations - 2 hours. The course includes 2 parts and 2 tests. The discipline ends with an exam in the 5th semester.
Recommended or required reading and other learning resources/tools
1. Singh M., Titley A. Systems and decomposition, organization and management. M .: Mashinostroenie, 1986. - 496p. 2. Irikov VA, Trenev VN Distributed decision making systems. Theory and applications. M .: Nauka, 1999. - 288p. 3. Burkov VN, Novikov DA How to manage organizations. M .: Sinteg, 2004.- 400p. 4. Burkov VN Economic mechanisms of firm development: Textbook / Edited by Irikov VA /. M, UNPK MIPT, 1997. - 56с. 5. Volkovich VL, Dolenko GO Methodical recommendations for the course "System Optimization". K .: VPC "Kyiv University", 1992.-51c. 6. Dolenko GO Decision-making procedures for innovation management. K.: VPC "Kyiv University", 2009.-56c. 7. Dolenko GO System optimization. Applied tasks. K.: VPC "Kyiv University", 2011.- 70p.
Planned learning activities and teaching methods
Lecture, laboratory work, independent work
Assessment methods and criteria
Test work, exam.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Galyna O. Dolenko
System analysis and decision making theory
Faculty of Computer Science and Cybernetics

Departments

The following departments are involved in teaching the above discipline

System analysis and decision making theory
Faculty of Computer Science and Cybernetics