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Using Big Data Techniques to Foster Professional Competencies in Engineering Students

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Proceeding of the International Science and Technology Conference "FarEastСon 2020"

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 227))

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Abstract

During the development of big data technologies, the requirements to the competencies of engineering graduates are changing. In connection with the transition of Russian higher school to FSES 3 ++, it is necessary to form indicators of the achievement of competencies taking into account innovative big data technologies. The work reflects the stages of the research, during which the areas, spheres, and tasks of the professional activity of construction engineer related to analysis and data warehouses have been identified. Currently, there is a demand for designing the infrastructure of a “smart home”. “Smart home” technologies are closely related to big data. Information from data warehouses is the basis for “smart infrastructure” solutions. The article presents a methodology developed by the authors for mastering the selected algorithms and methods for designing the “smart home” infrastructure with the use of big data for achieving indicators of professional competencies and also provides the results of a pedagogical experiment on the formation of the designated competencies. Such methods such as analysis, synthesis, formalization, methods of mathematical statistics (Mann–Whitney U-test), pedagogical experiment are presented as research resources.

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Authors and Affiliations

  1. Krasnodar Branch of Federal State- Funded Educational Institution of Higher, «Education Financial University Under the Government of Russian Federation», Shosse Neftianikov, 32, 350901, Krasnodar, Russian Federation

    E. V. Kuzmina, N. G. Pyankova & A. V. Botsoeva

Authors
  1. E. V. Kuzmina
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  2. N. G. Pyankova
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  3. A. V. Botsoeva
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Correspondence to E. V. Kuzmina .

Editor information

Editors and Affiliations

  1. Far Eastern Federal University (FEFU), Vladivostok, Russia

    Denis B. Solovev

  2. Far Eastern Federal University (FEFU), Vladivostok, Russia

    Viktor V. Savaley

  3. Far Eastern Federal University (FEFU), Vladivostok, Russia

    Alexander T. Bekker

  4. Far Eastern Federal University (FEFU), Vladivostok, Russia

    Valery I. Petukhov

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Kuzmina, E.V., Pyankova, N.G., Botsoeva, A.V. (2021). Using Big Data Techniques to Foster Professional Competencies in Engineering Students. In: Solovev, D.B., Savaley, V.V., Bekker, A.T., Petukhov, V.I. (eds) Proceeding of the International Science and Technology Conference "FarEastСon 2020". Smart Innovation, Systems and Technologies, vol 227. Springer, Singapore. https://doi.org/10.1007/978-981-16-0953-4_76

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