<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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].</p></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].

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

Saint-Petersburg State Agrarian University, Saint-Petersburg, Russia

Warsaw University of Technology, Faculty of Management, Warsaw, Poland

Warsaw University of Life Sciences, Warsaw, Poland

Foundations of Management

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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...

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

Publicado en línea: 23 abr 2015

Páginas: 47 - 56

DOI: https://doi.org/10.1515/fman-2015-0017

Palabras clave
advanced training course, educational data mining, statistics methods

© Faculty of Management, Warsaw University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Publicado en línea: 23 abr 2015

Páginas: 47 - 56

DOI: https://doi.org/10.1515/fman-2015-0017

Palabras claveadvanced training course, educational data mining, statistics methods

© Faculty of Management, Warsaw University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Palabras clave
advanced training course, educational data mining, statistics methods