A computer simulation of population reproduction rate on the basis of their mathematical models

Author:

Tsidylo I M,Shevchyk L O,Hrod I M,Solonetska H V,Shabaga S B

Abstract

Abstract The article deals with the adoption of computer modeling as one of the leading areas of introduction of modern information technology in the modernization of content, forms and methods of teaching. In order to implement interdisciplinary integrated learning, the possibilities of interdisciplinary integration of learning content have been identified, the practice of using software environments in the process of modeling biological problems based on mathematical models has been analyzed, the possibilities of implementing algorithms of mathematical models in computer modeling have been investigated. A set of research tasks in biology as a basis for the implementation of interdisciplinary integration: nature - mathematics -computer science has been introduced into the educational process. The mathematical models of Verhulst, Arim, Leslie and the exponential law of direct proportional dependence or proportional rate of reproduction depending on the number of individuals of a population were used to design computer models of reproduction of ecological processes. They were implemented using the computer mathematics system MathCad and using programming environments Python, C#, C++. The expediency of the proposed method of interdisciplinary integration of learning content has been justified through a developmental and productive integrated approach, the use of certain collective forms of activity, the practical orientation of professional training disciplines to form algorithmic competence of students as a basis for professional competence in computer modeling of mathematical models of biological processes.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference29 articles.

1. Time Series Forecasting using ARIMA, Neural Networks and Neo Fuzzy Neurons;Collantes-Duarte,2002

2. Use Of The Systems Of Computer Modelling For Projecting Of Research Tasks In Mathematics

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