Infopaket

System analysis of population dynamics

ДВС.1.01

Вибіркова дисципліна для ОП

Second

2023/2024

3 Semester

6

Acquainted with the main results, theoretical positions, and approaches of the mathematical methods applied in the field of actual research in conditions of uncertainty, including mathematical modeling and analysis of processes with nonlinear dynamics.

Full-time form

Know the theory of decision making (systems and methods of decision making) and systems analysis, certain sections of linear algebra, probability theory, and fuzzy set theory. Be able to perform a system analysis of typical problems, use mathematical and simulation modeling, solve examples of linear algebra.

Acquaintance with actual concepts of mathematical modeling and analysis of population processes and processes with nonlinear dynamics.

Kuntsevich V.M. Uncertainty management: guaranteed results in management and identification tasks. - К .: Naykova dumka, 2006. - 264 p. Ekland N., Temam R. Convex analysis and variational problems. - M .: Mir, 1979. - 400 p. Ostrem K. Introduction to stochastic control theory. - M .: Mir, 1973. - 324 p. Stanzhitsky, O.M., Taran, E. Yu., Gordynsky, L.D. Fundamentals of mathematical modeling. K .:Publishing and Printing Center "Kyiv University, 2006. - 96 p. Nakonechny O.G., Shevchuk I.M. Nonlinear problems of population dynamics and their application. - Kyiv: Kyiv University Publishing and Printing Center, 2020. - 187 p. Mikhailov A.P., Marevtseva N.A. Models of Information Warfare. Mathematical Models and Computer Simulations. – 2012. – Vol. 4, №3. –P. 251–259. DOI:10.1134/S2070048212030076. Martino J. P. Technological forecasting for decision making. – McGraw-Hill, Inc., 1993.

A lecture, a seminar, an independent work.

A test work, an activity estimation on the seminar, an exam.

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