Operations Research

Course: Data science

Structural unit: Faculty of information Technology

Title
Operations Research
Code
ОК 19
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
4 Semester
Number of ECTS credits allocated
5
Learning outcomes
Understand the principles of modeling organizational technical systems and operations; use operations research methods, solving single- and multi-criteria optimization problems of linear, integer, nonlinear, stochastic programming.
Form of study
Full-time form
Prerequisites and co-requisites
Know the basics of mathematics for computer science, the basics of algorithm theory, discrete structures, numerical methods. Be able to apply the mathematical apparatus of higher mathematics, graph theory, and numerical methods to solve applied problems. Possess the skills of building mathematical models, solving problems in higher mathematics.
Course content
The goal of the discipline is the formation of students' theoretical knowledge and practical skills regarding the creation of mathematical models, the application of basic models and methods of operations research in the process of preparation and management decision-making. mastering the theoretical foundations of optimization and mastering practical methods of optimization. In the program of the discipline, attention is paid to consideration of the basic concepts and methodologies of operations research, methods and tasks of operations research, the main stages of operations research, basic principles and methods of mathematical modeling of operations, principles of selection of mathematical and software for practical implementation of tasks. The course covers linear programming problems and their solution methods, integer problems, multi-criteria optimization problems. Methods of game theory, theory of mass service, dynamic programming, nonlinear programming are described.
Recommended or required reading and other learning resources/tools
3. Дослідження операцій в економіці : підруч. / І. К Федоренко. та ін. ; за ред. І. К. Федоренка, О. І. Черняка. Київ : Знання, 2017. 558 с. 4. Зайченко Ю. П. Дослідження операцій. – Київ: Видавничий Дім «Слово», 2006. – 816 с. 5. Дослідження операцій. Конспект лекцій / Уклад.: О.І. Лисенко, І.В. Алєксєєва, – К: НТУУ «КПИ», 2016. – 196 с. 6. Математичні методи дослідження операцій : підручник / Є. А. Лавров, Л. П. Перхун, В. В. Шендрик та ін. – Суми : Сумський державний університет, 2017. – 212 с 7. Дослідження операцій : конспект лекцій / О. В. Шебаніна, В. П. Клочан, І. В. Клочан та ін. – Миколаїв : МНАУ, 2021. – 150 с.
Planned learning activities and teaching methods
Lectures, practical activities, laboratory work, individual work
Assessment methods and criteria
The level of achievement of all planned learning outcomes is determined by the results of writing written test papers, performing practical, laboratory and independent work. Assessment of students is carried out during the semester for all types of work. The total score for the semester is formed as a weighted sum of points earned by the student for various types of work. The maximum number of points that a student can receive for work in a semester does not exceed 60 points, the minimum is 36 points on a 100-point scale. The final evaluation form is an exam. The final assessment includes theoretical questions (tests) - 50%, practical tasks (50%). The maximum number of points that can be obtained by a student on the exam is 40 points on a 100-point scale.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Departments

The following departments are involved in teaching the above discipline