Infopaket

Basics of Operations Research

ОК.28

Обов’язкова дисципліна для ОП

First

2022/2023

3 Semester

4

PH04. Perform mathematical description, analysis and synthesis of discrete objects and systems, using the concepts and methods of discrete mathematics and algorithm theory. PH10. Have methods for choosing rational methods and algorithms for solving mathematical problems

Full-time form

to study the discipline "Operations Research" the student must meet the following requirements: Know: 1. Linear algebra: construction of a 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. Have skills: 1. of using classical methods of mathematical analysis and linear algebra. 2. of search and analysis of information in open sources.

The aim of the discipline is to study the basics of operations research and mathematical programming, their models and methods that are most often used to quantify management decisions and mathematical modeling of economic processes.

1. Popov YU.D., Tyuptya V.I., Shevchenko V.I. Metody optymizatsiyi — Kyyiv: Elektronne vy-dannya. Elektronna biblioteka fakulʹtetu kibernetyky Kyyivsʹkoho natsionalʹnoho uni-versytetu imeni Tarasa Shevchenka, 2003, — 215 s. 2. Zaychenko YU. P. Doslidzhennya operatsiy. Pidruchnyk / YU. P. Zaychenko. – 7-me vyd., pere-robl. ta dopov. – Kyyiv : Vydavnychyy dim «Slovo», 2006. – 816 s. 3. Khemdi. A. Takha. Vvedenye v yssledovanye operatsyy, 10-e yzdanye. — M.: Vylʹyams, 2016. 912 s. 4. Nefʹodov YU. M. Metody optymizatsiyi v prykladakh i zadachakh : navchalʹnyy posibnyk / YU. M. Nefʹodov, T. YU. Balytsʹka. – Kyyiv : Kondor, 2011. – 324 s. 5. Dzyuban I. YU. Metody doslidzhennya operatsiy / I. YU. Dzyuban, O. L. Zhyrov, O. H. Okhri-menko. – Kyyiv : IVTS «Vydavnytstvo «Politekhnika », 2005. – 108 s. 6. Nakonechnyy S. I. Matematychne prohramuvannya: navch. posib. / S. I. Nakonechnyy, S. S. Savina. – Kyyiv : KNEU, 2003. – 452 s.

Lectures, practice work, independent work, processing recommended literature, homework.

Semester assessment: Maximum number of points that can be obtained by a student: 100 points: 1. Test work № 1: PH 1.1, PH 2.1, PH 2.2, PH 2.3 - 20/10 points. 2. Test work № 2: PH 1.1, PH 2.1, PH 2.2, PH 2.3 - 20/10 points 3. Test work № 3: PH 1.1, PH 2.1, PH 2.2, PH 2.3 - 20/10 points Final assessment (in the form of an exam): - Maximum number of points that can be obtained by a student: 40 points. - Learning outcomes to be evaluated: PH 1.1, PH 2.1, PH 2.2, PH 2.3, PH 2.4, PH 3.1, PH 3.2, PH 4.1, PH 4.2. - Form of conducting: written. - Types of tasks: 4 written tasks (2 theoretical questions and 2 practical tasks). - A student receives an overall positive grade in the discipline if his grade for the exam is not less than 24 (twenty four) points. - A student is admitted to the exam if during the semester he: o scored at least 36 points; performed and timely submitted at least 2 (two) independent works from the list of proposed works;

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