{"id":11300,"date":"2019-02-19T10:30:36","date_gmt":"2019-02-19T14:30:36","guid":{"rendered":"http:\/\/gottbs.com\/?p=11300"},"modified":"2019-02-21T15:20:25","modified_gmt":"2019-02-21T19:20:25","slug":"free-online-measurement-uncertainty-course-available-now","status":"publish","type":"post","link":"https:\/\/gottbs.com\/2019\/02\/19\/free-online-measurement-uncertainty-course-available-now\/","title":{"rendered":"Free Online Measurement Uncertainty Course Available Now!"},"content":{"rendered":"
As TTBS prepares for the 2019 celebration of World Metrology Day on 20th<\/sup> May with the theme \u201c The International System of Units Fundamentally Better\u201d<\/u><\/strong> ,the Metrology Division at TTBS \u00a0would like to share with our Laboratory and Academic Community an online technical programme \u00a0on measurement uncertainty commencing \u00a0March 26 \u00a0and ending May 7, 2019.<\/p>\n The learning outcome for the measurement uncertainty course as a key component for having confidence in measurement are \u00a0as follows:<\/p>\n – the main concepts related to measurement results and measurement uncertainty, including their application to chemical analysis; The successfully participant would be able to<\/p>\n – decide what data are needed for uncertainty estimation, understand the meaning of the available data and decide whether the available data are sufficient; Participation in this \u00a0course is free of charge<\/u><\/strong>.\u00a0Participants who successfully pass the course will be issued a\u00a0certificate of completion by the University of Tartu. A downloadable digital\u00a0certificate of completion is free of charge, however if you desire a certificate of completion\u00a0on paper, it can be requested for a fee of 60 Euros.<\/p>\n The registration link is available at\u00a0 https:\/\/sisu.ut.ee\/measurement\/uncertainty\/<\/a><\/span><\/p>\n
\n– the main mathematical concepts and tools in uncertainty estimation;
\n– the main measurement uncertainty sources in chemical analysis;
\n– the main approaches for measurement uncertainty estimation.<\/p>\n
\n– select the uncertainty estimation approach suitable for the available data;
\n– quantify the uncertainty contributions of the relevant uncertainty sources using the available data;
\n– carry out estimation of uncertainty using the main approaches of uncertainty estimation<\/p>\n