Data Mining and Statistics Methods for Advanced Training Course Quality Measurement: Case Study

Galchenko Maxim (), Gushchinsky Alexander (), Izdebski Waldemar () and Skudlarski Jacek ()
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Galchenko Maxim: Saint-Petersburg State Agrarian University, Saint-Petersburg, Russia
Gushchinsky Alexander: Saint-Petersburg State Agrarian University, Saint-Petersburg, Russia
Izdebski Waldemar: Warsaw University of Technology, Faculty of Management, Warsaw, Poland
Skudlarski Jacek: Warsaw University of Life Sciences, Warsaw, Poland

Foundations of Management, 2014, vol. 6, issue 3, 47-56

Abstract: Advanced training courses in the energetics field is a very important part of human reliability growth. In the words of S.E. Magid, chief of Technical Educational systems in Energy Technologies, UNESCO department: “The number of forced outages due to failures of equipment on the power stations -30 %. The share of operational personnel fault in these infringements makes considerable size (to 15%). As a whole in the Russian Open Society ‘United Power Systems’ the infringements percentage because of the personnel from infringements total makes 2%. At the same time, on power stations this quantity makes 18%. In power supply systems of Siberia the relative quantity of infringements because of the personnel reaches 50%.” [1].

Keywords: advanced training course; educational data mining; statistics methods (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:founma:v:6:y:2014:i:3:p:47-56:n:4

DOI: 10.1515/fman-2015-0017

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