Modeling and Prediction of Environmental Conditions (Applied Informatics)

Type: For the student's choice

Department: discrete analysis and intelligent system

Curriculum

SemesterCreditsReporting
94Exam

Lectures

SemesterAmount of hoursLecturerGroup(s)
918Professor M. M. PrytulaPMi-53m

Laboratory works

SemesterAmount of hoursGroupTeacher(s)
918PMi-53mM. O. Starchak

Course description

Aim. Study the basic forms and principles of modeling of environmental phenomena and processes.

Summary. The course considers modeling of environmental phenomena and processes. The specifics of environment state modeling are discussed, differential equations in biology are derived, and computations of dynamics of population are analyzed. The essence of extrapolation method for a single time series based on: analytical indicators of dynamic series, fluid medium, the index of seasonality and the derived methods is considered.

Target. Master the basic theoretical aspects of mathematical and computer modeling in ecology. Get familiar with the principles of application of elementary functions to the modeling of biological, chemical and physical processes. Master key priorities in ecology, to conduct simulation experiments based on the mathematical model for verification.

After completion of this course a student should

  • know: the main aspects of the selection and construction of linear and nonlinear models in ecological processes;
  • be able to: write a mathematical model of hydroecological processes; classify mathematical models of spatially distributed systems.