Data mining and statistics methods for advanced training course quality measurement: Case study

Artikel

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].

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: Foundations of Management ; ISSN: 2300-5661 ; Volume: 6 ; Year: 2014 ; Issue: 3 ; Pages: 47-56 ; Warsaw: De Gruyter

Classification and Topics

• Classification: Management
• Subject: advanced training course ; educational data mining ; statistics methods

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Galchenko, Maxim ; Gushchinsky, Alexander ; Izdebski, Waldemar ; Skudlarski, Jacek
• Event: Veröffentlichung
• (who): De Gruyter
• (where): Warsaw
• (when): 2014

Further information

• DOI: doi:10.1515/fman-2015-0017
• Handle: http://hdl.handle.net/10419/184581
• Last update: 10.03.2025, 11:44 AM CET