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  • Understand the measurement uncertainty concept and learn how to use the related evaluation tools
  • Learn how to apply the uncertainty evaluation method (GUM and FD X07-021)
  • 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 simple cases
  • Use measurement uncertainties and strategies for declaring conformity

This course is designed for employees wanting to learn how to evaluate measurement uncertainties in situations where they may have to do this in simple cases involving direct measurement, and how to apply the law of propagation of uncertainty (for more complex cases, refer to course IN03)

  • Basic maths skills
  • 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 in simple cases and submit a standards-compliant report (GUM NF ISO / IEC Guide 98-3). They will be able to read an existing uncertainty report and make critical observations on the method used


General topics

  • Vocabulary and definitions (VIM: NF ISO / IEC Guide 99)
  • The uncertainty concept
  • 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
  • Evaluations of basic standard deviations using type A and type B methods
  • Analysis of calibration documents: calibration certificates and verification reports
  • Application of R&R results
  • Additivity of variances
  • Direct measurements
  • Introduction to the law of propagation of uncertainty
  • Introduction to the covariance concept
  • Familiarization with alternative methods
    Using measurement uncertainties
  • Industrial risks arising from measurement
  • Declaration of conformity: NF ISO/CEI Guide 98-4, NF EN ISO/CEI 14253-1, NF ISO 22514-7
    Practical training
  • Application to real-life cases suggested by the participants
From 3000 € 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 2625 € 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
FP01 Practical introduction to calibration/verification techniques in the industrial sector
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
  • Applied to real-life cases provided by the participants
  • Post-course support and mentoring