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Potential of data science in mechanical engineering – current trends impacting demand for mechanical engineering graduates

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F20%3A00343981" target="_blank" >RIV/68407700:21220/20:00343981 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Potential of data science in mechanical engineering – current trends impacting demand for mechanical engineering graduates

  • Original language description

    Data science related buzzwords such as Big Data, artificial intelligence or machine learning have gained popularity in most fields of science and technology and the field of mechanical engineering is no exception. This paper uses an example of a wind turbines producer in order to demonstrate an increasing role of data science and the possibility of its application in various areas of the example company such as materials research, reliability and maintenance, project office or operations. With the current trends in data science and its expected further positive development, there will be a growing interest in machine engineers equipped with data science skills on the market. In order to meet the still evolving demand for specialists with skills addressing machine learning or Python, technical universities should take this evolution on the market into account when updating their study plans.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20301 - Mechanical engineering

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Recenzovaný sborník příspěvků z 20. odborné konference z cyklu Integrované inženýrství v řízení průmyslových podniků na téma Aplikace a využití moderních nástrojů, metod a technologií v praxi

  • ISBN

    978-80-01-06775-8

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    43-52

  • Publisher name

    České vysoké učení technické v Praze

  • Place of publication

    Praha

  • Event location

    On-line

  • Event date

    Oct 7, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article