Coursework «Operations Research»

Course: Applied Mathematics

Structural unit: Faculty of Computer Science and Cybernetics

Title
Coursework «Operations Research»
Code
Module type
Вибіркова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
6 Semester
Number of ECTS credits allocated
2
Learning outcomes
РН09. Build algorithms that are efficient in terms of calculation accuracy, stability, speed and cost of system resources for numerical study of mathematical models and solving practical problems. PH17. Be able to collect, process, analyze, systematize scientific and technical information, while avoiding academic dishonesty. PRN22.2. Have knowledge of the fundamentals of mathematical modeling and optimal management, to the extent necessary for the development of general professional applied disciplines and use the relevant knowledge in the chosen profession;
Form of study
Full-time form
Prerequisites and co-requisites
To successfully complete the course work, students must meet the following requirements: Know: basic elements of algebra, geometry and operations research; algorithmic principles in modeling, design, development and maintenance of deterministic and stochastic systems. Be able to: apply in practice algorithmic principles in modeling, design, development and maintenance of deterministic and stochastic systems; to develop, implement and maintain deterministic and stochastic models in organizational, technical, natural and socio-economic systems. Have basic skills: solving algebra problems, operations research, probability theory, etc.
Course content
The course work is an elective component of the educational-professional training program for the first (bachelor's) level of higher education in the field of knowledge 11 "Mathematics and Statistics" in the specialty 113 "Applied Mathematics" within the educational-professional program "Applied Mathematics"
Recommended or required reading and other learning resources/tools
1 Beklemyshev D.V.Kurs analytycheskoy heometryy y lyneynoy alhebry. M: Nauka, 1985. 2 Ykramov KH.D. Zadachnyk po lyneynoy alhebre M: Nauka, 1975. 3 Ylʹyn V.A., Poznyak É.H. Lyneynaya alhebra M: Nauka, 1984. 4 Tolbatov YU. A. Matematychne prohramuvannya : pidruch. dlya stud. vyshch. navch. zakl. / YU. A. Tolbatov, YE. YU. Tolbatov. – Ternopilʹ : Pidruchnyky i posibnyky, 2008. – 432 s. 5 YU.D.Popov, V.I.Tyuptya, V.I.Shevchenko “Metody optymizatsiyi”, K.,2000 6 Larionov YU. I. Doslidzhennya operatsiy v informatsiynykh systemakh : navch. posibnyk / YU. I. Larionov, V. M. Levykin, M. A. Khazhmuradov. – 2-he vyd. – Kharkiv : Kompaniya SMIT, 2005. – 364 s. 7 Borovkov A.A. Teoryya veroyatnostey. M.: Nauka, 1986. – 432s. 8 Feller V. Vvedenye v teoryyu veroyatnostey y ee prylozhenyya: Tom 2. M.: Myr, 1984. – 738 s. 9 Iksanov A. Renewal theory for perturbed random walks and similar processes. Cham: Birkhauser, 2016.-250 p.
Planned learning activities and teaching methods
Consultations with the supervisor, independent work.
Assessment methods and criteria
Semester assessment. Defense of course work. The maximum / minimum number of points that can be obtained by students for course work is 100 points / 60 points, of which: 1. Rationale for the relevance of the topic: - 10 points / 6 points. 2. Elaboration and use of scientific literature: - 15 points / 9 points. 3. Validity of the research methodology: - 10 points / 9 points. 4. Validity of analysis and interpretation of the results: 30 points / 18 points. 5. Correspondence of conclusions to research tasks: - 5 points / 3 points. 6. Clarity of structure and presentation of the material: - 5 points / 3 points. 7. Literacy: - 5 points / 3 points. 8. Quality of work design: - 5 points / 3 points. 9. Systematic performance of work: - 15 points / 9 points. Final assessment (in the form of differentiated credit): Credit points are defined as the sum of grades / points for all successfully assessed learning outcomes provided by this program.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Alexander M. Iksanov
Operations Research
Faculty of Computer Science and Cybernetics
Oleg K. Zakusylo
Operations Research
Faculty of Computer Science and Cybernetics
Alexander V. Marynych
Operations Research
Faculty of Computer Science and Cybernetics
Ivan K. Matsak
Operations Research
Faculty of Computer Science and Cybernetics
Danylo P. Proskurin
Operations Research
Faculty of Computer Science and Cybernetics
Ihor V. Samoilenko
Operations Research
Faculty of Computer Science and Cybernetics
Bohdan V. Dovhai
Operations Research
Faculty of Computer Science and Cybernetics
Viacheslav I. Rabanovich
Operations Research
Faculty of Computer Science and Cybernetics
Andrii V. Zavorotynskyi
Operations Research
Faculty of Computer Science and Cybernetics