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Evaluation of Measurement Uncertainties

Measurement, as a method to quantitatively compare a physical size with that of a reference object, is an important process in many applications - from commodity trading to science and research. Measurements are the basis of far-reaching decisions. The measurement is only truly possible and complete, however, if the inherent measurement uncertainties can also be correctly assessed.

In the seminar "Practical Evaluation of Measurement Uncertainty", you learn how to consistently and reproducibly evaluate measurement uncertainty according to the ISO Guide to the Expression of Uncertainty in Measurement (GUM), which is also known as the pre-standard DIN V ENV 13005 in German-speaking regions. After completing the seminar, you will be familiar with the relevant documents on measurements and calibrations and will be able to determine measurement uncertainty to perform measurement tasks.

Content

You learn the basic principles of evaluating measurement uncertainty according to the current ISO Guides.

Main topics:

  • Basic concepts of measurement
  • Introduction to the topic measurement uncertainty
  • Determination of measurement uncertainty using the GUM method
  • In-depth information about the GUM method
  • Computational evaluation of measurement uncertainty
  • Practical examples

Target Groups

The seminar is useful as an entry or a refreser for people who are responsible for planning and carrying out measurements as well as processing and interpretating the results of measurements:

  • Research institutions and development departments
  • Production and quality managment
  • Testing and calibration laboratories
  • Expert assessment

In particular, the following people may benefit from the seminar:

  • measurement engineers,
  • quality managers who set and judge the measurement uncertainty according to the accepted standards and
  • researchers who need to evaluate measurement uncertainties that occur in their experimental studies.

Admission Requirements

For information about the admission requirements, please contact head of seminar Dipl.-Ing. Dr.techn. Markus Brandner.

Source: Brandner – TU Graz

Dates and Deadlines

Next seminar date: 19, 20, 26 and 27 September 2019 (2 pm to 6 pm on Thursdays, 9 am to 5 pm on Fridays)

Seminar Location: TU Graz, Inffeldgasse 13, Room PZ2EG034

Registration: until 8 September 2019

 

Quick Facts

  • Duration: 4 days
  • Certificate: Confirmation of participation
  • Language of instruction: German, English upon request
  • Participation fees: 990 € (VAT free) or 790 € (VAT free) in the case of at least 3 participants from the same company; TU Graz staff members receive a 30% price reduction
    The fees cover the costs of the course materials and drinks during the breaks.
  • Number of participants: at most 24
  • Course location: TU Graz
  • Course dates and times: Fridays 2 to 6 p.m., Saturdays 9 a.m. to 5 p.m.
Source: Brandner
Markus Brandner, programme director

The short life span of knowledge affects many areas of technology. This particularly applies to sectors with close proximity to products and customers. As a developer of measuring instruments, I often work on implementing the newest research findings in practical measuring instruments. The topic of measurement uncertainties is of particular importance to my work. As a lecturer in this programme, I have the opportunity to pass on my knowledge of measurement uncertainties to interested participants in a practice-oriented manner. At the same time, I benefit from the participants’ many different disciplines, which ensure lively, in-depth discussion and sharing of experiences in the seminar.

Registration

If you want to sign up for the course, please submit the completed registration form (in German) by e-mail to vera.poschaukonoSpam@tugraz.at.

Registration deadline: 8 September 2019

Programme Director

Markus BRANDNER
Dipl.-Ing. Dr.techn.
Phone: +43 316 873 30520
brandnernoSpam@ieee.org

Vera Poschauko, Source: sara-sera – TU Graz

Contact

Vera POSCHAUKO
Mag.
TU Graz Life Long Learning
Phone: +43 316 873 4932
vera.poschaukonoSpam@tugraz.at

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