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Modelling and Data Analysis
2020. Vol. 10, no. 1, 176–188
https://doi.org/10.17759/mda.2020100112
ISSN: 2219-3758 / 2311-9454 (online)

Information System for Educational and Methodological Support of the Discipline “Numerical Methods of Linear Algebra”

 
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Abstract

The article deals with the development of an information system for educational and methodological support of the discipline of the mathematical cycle. The main requirements for the developed discipline are defi ned.

General Information

Keywords: Information system, self-control, testing, training, information technology, Internet

Journal rubric: Software

OpenAlex citations: 5

OpenAlex trends: Advanced Data Processing Techniques, Scientific Research Methodologies and Applications, Advanced Theoretical and Applied Studies in Material Sciences and Geometry

Information about the work in OpenAlex

Number of citations: 5

Topics

Advanced Data Processing Techniques

This cluster of papers focuses on the modeling and control of multidimensional systems, with an emphasis on redundant transmission, fuzzy controller adaptation, fault tolerance, real-time systems, and energy efficiency in various domains such as cyber-physical systems, network traffic analysis, and industrial automation.

Number of works: 60256  |  Total number of citations: 206829

Topic detailsв OpenAlex

Scientific Research Methodologies and Applications

This cluster of papers focuses on water resources management, environmental monitoring, and sustainability. It covers topics such as water treatment, climate change impact on water resources and agricultural production, use of decision trees and neural networks for data analysis, sensors for remote sensing, and the application of modern technologies in environmental monitoring.

Number of works: 2916  |  Total number of citations: 10089

Topic detailsв OpenAlex

Advanced Theoretical and Applied Studies in Material Sciences and Geometry

This cluster of papers focuses on the application of nanomaterials, geometric modeling, and mathematical simulation in engineering. It covers topics such as nanomaterial-based polymer nanocomposites, technological equipment with electrohydraulic drives, vortex chamber pumps, and sustainable energy development. Additionally, it explores the use of descriptive geometry in modeling and design processes.

Number of works: 57200  |  Total number of citations: 226408

Topic detailsв OpenAlex

Work details in OpenAlex

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2020100112

Published

For citation: Nurkaeva, I.M., Korchagina, K.A. (2020). Information System for Educational and Methodological Support of the Discipline “Numerical Methods of Linear Algebra”. Modelling and Data Analysis, 10(1), 176–188. (In Russ.). https://doi.org/10.17759/mda.2020100112

© Nurkaeva I.M., Korchagina K.A., 2020

License: CC BY-NC 4.0

References

  1. Kuravskii L.S., Nurkaeva I.M., Yur’ev G.A. Distsiplina «Informatika i programmirovanie»: programma, metodicheskie rekomendatsii i uchebnye posobiya: Uchebnoe posobie. – 2-e izdanie dopolnennoe. – M.: FGBOU VO MGPPU, 2017. – 102 p.
  2. Makfarland D. Bol’shaya kniga CSS3. – SPb.: Piter, 2016. – 720 p.
  3. Nikson R. Sozdaem dinamicheskie veb-saity s pomoshch’yu PHP, MySQL, JavaScript, CSS i HTML5. 3-e izd. – SPb.: Piter, 2015. – 688 p.
  4. Nurkaeva I.M., Komorina K.A. Informatsionnaya sistema diagnostiki professional’nogo vygoraniya pedagogov. Modelirovanie i analiz dannykh. – M.: FGBOU VO MGPPU, 2017. – № 1. – pp. 95–103.
  5. Nurkaeva I.M., Zaitsev A.N., Ogloblin A.A. Informatsionnaya sistema dlya monitoring uchebnykh dostizhenii studentov MGPPU. Modelirovanie i analiz dannykh. – M.: FGBOU VO MGPPU, 2019. – № 1. – pp. 30–41.

Information About the Authors

Irina M. Nurkaeva, Candidate of Science (Education), Associate Professor of the Department of Applied Informatics and Multimedia Technologies, Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-1949-6734, e-mail: nurkaevaim@yandex.ru

Kristina A. Korchagina, Specialist in Educational and Methodological Work of the IT Faculty, Moscow State University of Psychology and Education, Moscow, Russian Federation, e-mail: vereinaka@mgppu.ru

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