MIKES Metrology arranges courses on measurement uncertainty
MIKES Metrology arranges regularly one or half day courses on evaluation of measurement uncertainty. The measurement uncertainty describes the reliability level of measurements and thus the course is also known with the name "Reliability to measurements from uncertainty evaluations". In the course, the participants get basic information on the evaluation and calculation of measurement uncertainty as well as ideas how to adapt the issues presented in the course in their own measuring tasks.
In addition to the general course on measurement uncertainty, MIKES Metrology offers tailored courses to the customers. In these tailored courses, the examples will concentrate on the customer's measuring targets. The content of the course is always planned and agreed on together with the customer. The course can be carried out at MIKES Metrology or at customer's premises.
Moreover, MIKES Metrology can draw up uncertainty calculations for the customer. The customer will give the source information and the calculations are performed in a stepwise manner so that the customer gives feedback and additional information in each step. As an end product, the customer will receive Excel tables of the calculations and guidance into how to use and further utilise them.
The measurement uncertainty education and calculations follow the principles of the internationally recognised guide for evaluating uncertainty: GUM, Evaluation of measurement data – Guide to the expression of uncertainty in measurement, JCGM 100:2008.
For further information on the courses, please contact
- Sari Saxholm, Senior Scientist, tel. +358 50 410 5499, email sari.saxholm(at)vtt.fi
(especially pressure, mass and temperature metrology)
- Ilkka Iisakka, Research Scientist, tel. +358 50 410 5519, email ilkka.iisakka(at)vtt.fi
(especially time and frequency, and electrical metrology)
- Björn Hemming, Senior Scientist, tel. +358 40 773 5744, email björn.hemming(at)vtt.fi
(especially length and dimensional metrology)