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  • Reminder of the measurement uncertainty concept and related evaluation tools
  • Learn how to evaluate uncertainties
  • Model and build an uncertainty budget using the '5M’ method
  • Evaluate basic uncertainties using type A and type B methods
  • Calculate an expanded uncertainty
  • Apply the GUM (NF ISO / IEC Guide 98-3) to cases involving the law of propagation of uncertainty
  • Understand the covariance concept
  • Develop skills in determining capabilities (NF ISO/CEI Guide 98-4, NF ISO 22514-7)

This course is designed for employees seeking to learn how to calculate measurement uncertainties, who may be tasked with evaluating measurement uncertainties in complex cases involving indirect measurement (application of the law of propagation of uncertainty.

  • Basic maths skills (derivatives of a function)
  • Basic knowledge of the measurement uncertainty
  • Basic Excel skills

By the end of the course, the participant will understand and know how to use the measurement uncertainty concept. They will be able to evaluate a measurement uncertainty for cases involving indirect measurement (law of propagation of uncertainty) and submit a standards-compliant report (GUM NF ISO/CEI Guide 98-3). They will be able to read an existing uncertainty budget and make critical observations on the method used.


General topics

  • Vocabulary and definitions (VIM: NF ISO/CEI Guide 99)
  • The uncertainty concept
  • Observations of sample CE/CV
  • The uncertainty calculation
    Reminder of basic statistics principles
  • Statistical Inference
  • Central limit theorem
  • Theory of small samples
    Theoretical training: Introduction to GUM (NF ISO / IEC Guide 98-3)
  • Uncertainty budget and the “5M” method
  • Type A and Type B evaluation methods
  • Application of an R&R procedure
  • Application of the law of propagation of uncertainty
  • Introduction to covariances
  • Introduction to Monte Carlo methods
    Using measurement uncertainties
  • The concept of industrial risks arising from measurement
  • Declaration of conformity: NF ISO/CEI Guide 98-4, NF EN ISO/CEI 14253-1, NF ISO 22514-7
  • Uncertainty relating to sample CE/CV
  • Notion of measurement process capability
    Practical training
  • Application to real-life cases suggested by the participants
From 3600 € Ex. Tax On site or at our premises For a group of up to 12 people CUSTOM - Pre and post-course support and mentoring
Remote Coaching
From 3150 € Ex. Tax Course available in full online format Pre and post-course support and follow-up - Remote Coaching Customized
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Additional training courses

MT01 Introduction to metrology
MT02 Methods for optimising calibration intervals (FD X07-014) and monitoring operations
MT03 Learn how to meet MSA requirements
EX01 Improving the metrology department: strategy and tools
EX02 Advanced course in evaluating measurement uncertainties
EX03 Latest calibration definition taken from VIM 3: Use of M-CARE modelling software
EX04 NF ISO/CEI Guide 98-4: Client and supplier risks
Measurement uncertainties
IN01 Introduction to evaluating uncertainties in measurements and tests
IN02 Practical introduction to evaluating and exploiting measurement uncertainties
IN03 Evaluating measurement uncertainties using indirect measurements
IN04 Evaluating measurement uncertainties using the Monte Carlo method
ST01 Basic statistical tools used in measurement
ST02 Using applied statistics to process experimental data, measurement uncertainties and tests
ST03 Inter-laboratory comparisons and proficiency testing procedures based on NF ISO 5725 et NF ISO 13528
FP02 Extra practical course component delivered via video-conference
FP03 Setting up the drift method with Optimu
FP04 Setting up the OPPERET method
FOP01 Measuring Instrument Management Module (MIM )
FOP02 Calibration module
FOP03 Movements module
FOP04 Uncertainty module
FOP05 Statistics module
FOP06 Administrative Management module
FOP07 Further Theory and Practice Module FD X07-014
FOP08 System settings
FOP09 Monitoring module
FOP10 module
  • An enjoyable way of learning how to use mathematical tools
  • Presentation of case studies
  • Post-course support and mentoring