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depend on the models used and their scope. By the nature of the models, subject and sign
(information) modeling is traditionally distinguished.
Modeling is a method of researching certain objects by reproducing their characteristics on
another object - a model, which is an analogue of a fragment of reality. In our time, modeling has
become an important form of understanding the world. All new scientific theories are based on
models. Newly created theories make it possible to build more and more new models, moving science
forward. In the process of teaching students, mathematical and computer modeling has found a place.
By teaching modeling, the teacher can build his own model of teaching a particular subject, discipline,
course. You can sometimes hear among teachers that this is not new, that something “we are already
doing”. What are the benefits of a new learning approach?
A model is understood as a system that is indistinguishable from the modeled object with
respect to some essential properties and distinguishable for all other properties that are assumed to be
insignificant, although this is also no less important. The original object of study and its model are
understood as a system. To build a model, you need to study the modeled object, that is, the
educational process. The main way of studying is based on a systematic approach.
First of all, you need to determine the elements that make up the object and find out how they
relate to each other. A particular model can have several characteristics. Each feature gives certain
knowledge about the properties of the model and the simulated reality, will help determine the quality
of the model and the means for modeling.
Computing experience (modeling skills) must include the following steps:
-development of a mathematical model;
-algorithm or method of solving equations;
- software development;
-calculations, analysis and optimization of results;
-physical description of the process, i.e. understanding the nature and laws of the events taking
place.
Experience in solving major problems shows that the experience of mathematical modeling and
computation combines the advantages of traditional theoretical and experimental research methods.
The use of an interactive method during the lectures to reveal the essence of simple and complex
formulas obtained in the mathematical description of any physical process increases the level of the
lecture and expands the student's worldview on the given topic.
True, the question arises as to whether a teacher should know his specialty or also know
programming languages. However, learning programming languages is not easy and takes a lot of
time. In addition, programming programs (Matlab, Mathcad, Matematica, Maple, C ++, C#, Delphi,
etc.) require a computer with better enough performance, and each has its own language (code). So it
is natural to ask reasonable questions about how much more load the teacher needs to put.
Nevertheless, it is required for every teacher to know English, a teacher knows English to some
extent. Computers can be found in departments and lecture halls of educational institutions, even if
they are not strong.
Therefore, based on the experience of many developed countries, the best way to solve the
problem is to recommend PYTHON, a simple and modern programming language for researchers
and teachers, which does not take up much computer space (total size 25 MB) and codes are spoken
in English [6- 8].
A distinctive feature of Python-it is easytouse syntax makes this high-level programming
language ideal for both beginners and those looking to change direction in the IT industry.
Despite the small size of the Python programming language, a special library (modules)
designed for it make this language universal. In its library you can find, easily install and work with
the necessary modules for Matlab, Matematica, ArcGis, as well as chemistry and other areas.
One of these modules is SciPy. It is open source and designed for scientific and engineering
calculations.
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The following article seeks to explain the proposition put forward by solving a specific problem
that exists in physics.
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