Operations Research

Course: Informatics

Structural unit: Faculty of Computer Science and Cybernetics

Title
Operations Research
Code
ОК.29
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
4
Learning outcomes
PH07. Understand the principles of modeling organizational and 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
to study the discipline "Operations Research" the student must meet the following requirements: Know: 1. Theory of linear algebra, construction of the basis, solution of systems of linear algebraic equations; 2. classical methods of mathematical analysis, probability theory. Be able to: 1. to study the qualitative characteristics of the constructed mathematical models. 2. formulate mathematical optimization problems for such models. 3. apply classical methods for the study of applied problems of mathematical programming. Possess: 1. skills of using classical methods of mathematical analysis and theory of linear algebra. 2. skills of formulation and algorithms for solving linear programming problems. 3. skills of search and analysis of information in open sources.
Course content
The aim of the discipline is to study the study of operations and mathematical programming, their models and methods that are most often used to quantify management decisions and mathematical modeling of economic processes.
Recommended or required reading and other learning resources/tools
1. Popov YU.D., Tyuptya V.I., Shevchenko V.I. Metody optymizatsiyi. Navchalʹnyy elektronnyy po-sibnyk dlya studentiv spetsialʹnostey “Prykladna matematyka”, “Informatyka”, “Sotsialʹ-na informatyka”. − Kyyiv: Elektronne vydannya. El. biblioteka fakulʹtetu kibernetyky Ky-yivsʹkoho natsionalʹnoho universytetu imeni Tarasa Shevchenka, 2003.−215 s. 2. Zaychenko YU. P. Doslidzhennya operatsiy. Pidruchnyk / YU. P. Zaychenko. – 7-me vyd., perero-bl. ta dopov. – Kyyiv : Vydavnychyy dim «Slovo», 2006. – 816 s. 3. Bartish M.YA., Dudzyanyy I.M. Doslidzhennya operatsiy. CH. 3. Ukhvalennya rishenʹ i teoriya ihor. Lʹviv: Vydavnychyy tsentr LNU imeni Ivana Franka, 2009. - 277 s. 4. Bartish M.YA., Dudzyanyy I.M. Doslidzhennya operatsiy. CH. 4. Neliniyne prohramuvannya: pidru-chnyk Lʹviv: Vydavnytstvo LNU imeni Ivana Franka, 2011. - 207 s. 5. Nefʹodov YU. M. Metody optymizatsiyi v prykladakh i zadachakh : navchalʹnyy posibnyk / YU. M. Nefʹodov, T. YU. Balytsʹka. – Kyyiv : Kondor, 2011. – 324 s.
Planned learning activities and teaching methods
Lectures, practice work, independent work, recommended literature processing, homework.
Assessment methods and criteria
Semester assessment: The maximum number of points that can be obtained by a student: 100 points: 1. Control work: RN 1.1, RN 2.1, RN 2.2, RN 2.3, RN3.1, RN4.1 – 90/54 points. 2. Current assessment: RN 1.1, RN 2.1, RN 2.2, RN 2.3, RN3.1, RN4.1 – 10/6 points. The credit is given based on the results of the student's work throughout the entire semester and does not include additional evaluation measures for successful students. Deadlines for evaluation forms: 1. Control work: until the 19th week of the semester. 2. Current evaluation: during the semester. Students have the right to one retake of the test in the term determined by the teacher. In the case of establishing the facts of violation by students of academic integrity provided for in Clause 9.8.2 "Regulations on the organization of the educational process at Taras Shevchenko Kyiv National University", they will be held liable as provided for in Clause 9.8.3 of this provision.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Andrii V. Zavorotynskyi
Operations Research
Faculty of Computer Science and Cybernetics
Roman Ya. Yakymiv
Operations Research
Faculty of Computer Science and Cybernetics
Inna S. Rybalko
Operations Research
Faculty of Computer Science and Cybernetics
Oksana A. Braganets
Operations Research
Faculty of Computer Science and Cybernetics