Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
AGRIS logo UlrichsWeb logo DOAJ logo

Name

Andrafanova Natalia Vladimirovna

Scholastic degree


Academic rank

associated professor

Honorary rank

—

Organization, job position

Kuban State University
   

Web site url

—

Email

nat_drofa@mail.ru


Articles count: 3

225 kb

ABOUT INTERDISCIPLINARY CONNECTIONS WHEN TEACHING BACHELORS ECONOMIC DIRECTIONS IN TECHNOLOGY OF PROGRAMMING

abstract 1271703026 issue 127 pp. 390 – 403 31.03.2017 ru 687
The article presents an interdisciplinary approach to teaching of programming technology within the discipline "Theory and Programming Technology" based on the implementation of interdisciplinary connections with financial mathematics on the example of the development of financial computing calculators. The importance of interdisciplinary connections in pedagogic of higher education motivates the transition of Federal State Educational Standards (FSES) of a new generation to a competence model of graduate preparing. Acquisition of financial calculation methods with the aid of using software tools will contribute the formation of professional competences in the project-technological activity as the ability to apply the tools and programming technology in terms of professional training, providing system analysis and management problem solving (PC-8). The choice for the development of instrumental software for methods of financial calculations will be able not only to improve claimed in FSES of the higher education professional competences in the project-technological activities for solving the problems of system analysis and management decisions, but to develop teaching and interdisciplinary communications through enriching the content of the discipline / module with knowledge of another discipline
480 kb

ABOUT EXPERIMENTAL OPPORTUNITIES OF DYNAMIC GEOMETRY SYSTEM CALLED GEOGEBRA

abstract 1281704018 issue 128 pp. 268 – 284 28.04.2017 ru 654
The article presents the possibilities of the GeoGebra dynamic geometry environment which can be used for conducting experimental research work. Computer experiment as a method of research serves to discover new knowledge, to test hypotheses, to involve students in the active process of learning new material. Freely-distributed GeoGebra's dynamic geometry environment which has a Russian version and a friendly interface that can be conveniently used both in classrooms and at home, is chosen as a computer technology for implementing a computer experiment. There are described possibilities of the tools used to implement the computer experiment. Among them are tools for detecting the metric and positional features of the object, obtaining information about the relationship between metric and positional features of objects, a parametrical task of changes of size, creation of experimental data tables. The experimental capabilities of the GeoGebra dynamic geometry environment are revealed by the examples of solving some elementary geometry problems about the simplest of polygons - a triangle that attracted the attention of both ancient scientists (Menelaus and others) and scientists who are closer to our time (Euler, Poncelet et al. ). Capabilities of the system for creating dynamic drawings, tables of experimental data and their application in conducting research work are demonstrated on the example of Menelaus' theorem presented in a more accessible form than in the textbook of geometry 10th -11th forms (authors L.S. Atanasyan, V. F. Butuzov, etc.)
11340 kb

The synthesis of the semantic nuclei of scientific specialties of the higher attestation commission of the russian federation and the automatic classifica-tion of articles according to scientific fields with the use of asc-analysis and "eidos" intellectual systems (on the example of scientific journal of kuban state agrarian university and its scientific specialties: mechanization, agronomy and veterinary medicine)

abstract 1451901033 issue 145 pp. 31 – 102 31.01.2019 ru 356
14 January 2019 at the website of the higher attestation Commission of the Russian Federation http://vak.ed.gov.ru/87 the information appeared: "About refining of scientific specialties and their respective fields of science where publications are included in the List of peer-reviewed scientific publications, where basic scientific results of dissertations on competition of a scientific degree of candidate of Sciences, on competition of a scientific degree of the doctor of Sciences must be published ". It is reported that according to the recommendation of the HAC for other publications included in the List of groups of scientific specialties, the work on refining scientific specialties and branches of science will be continued in 2019. This work is a continuation of the author's series of works on cognitive linguistics. It offers innovative intelligent technology to automate the solution of the problem formulated by the higher attestation Commission of the Russian Federation above. With the use of the automated system-cognitive analysis (ASC-analysis) and its programmatic toolkit which is intellectual system called "Eidos" directly on the basis of official texts of passports of scientific specialties of the higher attestation Commission of the Russian Federation, there were established their semantic kernels, and then, implemented the automatic classification of scientific texts (articles, monographs, textbooks, etc.) on the specialties and groups of specialties of the higher attestation Commission of the Russian Federation. Traditionally, this task is solved by dissertation councils, as well as editorial boards of scientific publications, i.e. by experts, on the basis of expert assessments, in an informal way, on the basis of experience, intuition and professional competence. However, the traditional approach has a number of serious drawbacks that impose significant limitations on the quality and volume of analysis. Therefore, the efforts of researchers and developers to overcome these limitations are relevant. Currently, there are all grounds to consider these restrictions as unacceptable, because they are not only necessary, but also quite possible to overcome. Thus, there is a problem, the solution of which is the subject of consideration in this article. A detailed numerical example of solving the problem on real data is given as well
ßíäåêñ.Ìåòðèêà