Infopaket

Computer Simulation and Optimization in Information Systems

ВБ 2.1.8

Вибіркова дисципліна для ОП

First

2023/2024

7 Semester

6

Have the skills to evaluate, interpret and synthesize information and data, computing skills and data processing skills related to information and data of information and communication networks, telecommunications and radio engineering systems. The ability to combine computational skills: error analysis, estimating the order of magnitudes, correct use of units. Be able to work with information: find, evaluate and use information from various sources necessary to solve professional tasks, including the reproduction of information through electronic retrieval. Ability to create adequate models of research objects in order to optimize modeling and design processes.

Full-time form

To successfully study the discipline, students must acquire knowledge and skills in the following disciplines: "Higher Mathematics", "Probability Theory and Mathematical Statistics", "Discrete Mathematics".

The discipline involves the study of: the essence of the stages of operations; principles and methods of mathematical modeling of operations; principles of selection of mathematical and software for practical implementation of tasks; to set and solve optimization problems using a mathematical apparatus; solve data processing tasks related to information and data of information and communication networks, telecommunications and radio technical systems; to solve optimization problems of managing information and communication networks; build and optimize network models; create adequate models of research objects in order to optimize modeling and design processes; to carry out practical work on mathematical modeling of systems and processes on computers using modern software environments.

6. Barabash, O., Kravchenko, Y., Mukhin, V., Kornaga, Y., Leshchenko, O. Optimization of Parameters at SDN Technologie Networks //International Journal of Intelligent Systems and Applications. – №9(9), 2017. – рр. 1–9. http://www.mecs-press.org/ijisa/ijisa-v9-n9/IJISA-V9-N9-1.pdf 7. Mashkov O.A., Murasov R.K., Kravchenko Y.V., Dakhno N.B., Leschenko O.A., Trush, A.V. Optimal forecast algorithm based on compatible linear filtration and extrapolation. Mathematical Modeling and Computingthis, 2021, 8(2), pp. 157–167. https://doi.org/10.23939/mmc2021.02.157 8. Y. Kravchenko, O. Leshchenko, N. Dakhno, V. Deinega, H. Shevchenko and O. Trush, "Intellectual Fuzzy System Air Pollution Control," 2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT), Kyiv, Ukraine, 2020, pp. 186-191, doi: 10.1109/ATIT50783.2020.9349334.

Lectures, laboratory work, practical work, individual work

The level of achievement of planned learning outcomes is determined by the results of: performance of laboratory work and practical work, defense of the results of independent tasks in practical and laboratory classes. The maximum number of points that a student can receive for work in a semester does not exceed 100 points; The form of assessment is credit. Crediting is carried out by issuing a final grade, which is defined as the sum of points for all successfully assessed learning outcomes for the semester. To receive credit, it is mandatory to complete all laboratory work (minimum score - 30 points, maximum - 50 points), practical work (minimum score - 24 points, maximum - 40 points), individual tasks (minimum score - 6 points, maximum - 10 points). Upon receiving the resulting final number of points from 60 and above, the student is assigned a credit.

Ukrainian