Applied Measurement Uncertainty for Calibration Laboratories (EMU 202)

During this workshop, the participant will be introduced to several tools and techniques that can be applied in the calibration laboratory environment to efficiently and effectively create measurement uncertainty budgets which comply with ISO/IEC 17025 requirements. The tools presented are generic in nature such that they may be applied in a variety of calibration laboratories.


Course Content

  • Metrology terminology and definitions.
  • Requirements for metrological traceability.
  • Statistical applications using Microsoft Excel.
  • The uncertainty estimation process for Type A and B uncertainties.
  • Repeatability and reproducibility methods.
  • Development of a calibration uncertainty budget.
  • Understanding and reporting measurement uncertainty in calibration reports.


  • Introduction to Measurement Uncertainty (EMU 101)
  • Working experience in Calibration laboratories
  • Proficiency in Microsoft Excel spreadsheet use


Target Attendees

Laboratory technical managers and calibration technicians.

Learning Outcomes

After successful completion of the course, participants will be able to:

1.    Discuss the concepts within the Guide to the Expression of Uncertainty of Measurement (The GUM);
2.    List and define the contributors for calibration laboratory measurement uncertainty budgets;
3.    Determine how contributors are considered for inclusion in the uncertainty budget; and
4.    Build a basic Calibration Measurement Uncertainty Budget.

CEUs Awarded

1.6 CEUs Awarded*

Presentation Style

Lecture, discussion, and group exercises.

Hands-on exercises using Microsoft Excel provide a practical approach that enables the attendees to apply the methods in their particular calibration application during and after the workshop. Several Excel templates and tools are provided for the attendees to implement.

Please bring a laptop with Microsoft Excel or compatible spreadsheet loaded in the computer for a truly interactive workshop.


ISO Guide 98-3:2008-Uncertainty of Measurement-Guide to the Expression of Uncertainty in Measurement


*American Association for Laboratory Accreditation (A2LA) is accredited by the International Association for Continuing Education and Training (IACET) and is authorized to issue the IACET CEU.


Training Services


March 14, 2018 – March 15, 2018
Hyatt Regency Reston
Reston , VA
8:00 AM – 4:30 PM

Additional Location Info:

This course is run in conjunction with the A2LA Technical Forum in Reston, Virginia March 16-18, 2018. As an attendee of the Technical Forum you will take part in expert-led sessions providing training and education on key topics. You will exchange insights during program-specific technical discussions. You will advance your career with professional development and networking opportunities offered throughout the conference. Dinner and an awards celebration provide the chance to connect with colleagues and recognize recent advancements in our field. Following the energizing three-day event, you will return to your job ready to take on new challenges.

April 19, 2018 – April 20, 2018
Renaissance Denver Hotel
3801 Quebec Street
Denver , CO 80207
8:00 AM – 4:30 PM

Additional Location Info:

June 14, 2018 – June 15, 2018
5202 Presidents Ct.
Frederick, MD 21703
8:00 AM – 4:30 PM

July 26, 2018 – July 27, 2018
San Francisco , CA
8:00 AM – 4:30 PM

Additional Location Info:

Venue to be announced.

October 11, 2018 – October 12, 2018
Atlanta , GA
8:00 AM – 4:30 PM

Additional Location Info:

Venue to be announced.

November 15, 2018 – November 16, 2018
Las Vegas , NV
8:00 AM – 4:30 PM

Additional Location Info:

Venue to be announced.

December 20, 2018 – December 21, 2018
5202 Presidents Ct.
Frederick, MD 21703
8:00 AM – 4:30 PM

Additional Location Info:

If you would like the A2LA corporate rate when booking your stay please contact

PLEASE NOTE: A2LA can offer on-site training at your facility. For additional information about this option, please contact Training Services, at 301-644-3235 or