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  • Understand how the Monte Carlo simulation can be applied to metrology
  • Learn how to apply supplement 1 to GUM (NF ISO/CEI Guide 98-3/S1)
  • Understand the propagation of probability distributions using numerical simulation
  • Understand the pros and cons of the numerical versus the analytical method (GUM)

Engineers, researchers and technicians tasked with evaluating measurement uncertainties and tests who are seeking an in-depth understanding of all the techniques used to evaluate measurement uncertainties.

  • Basic skills in numerical calculation
  • Prior experience in evaluating measurement uncertainties
  • Basic Excel skills

By the end of the course, the participant will be able to evaluate measurement uncertainties using numerical simulation. They will understand in which cases conventional methods do not apply and give unsatisfactory results.


Principles of numerical simulation (Monte Carlo method)

  • Random number generator
  • Determining the number of simulations
  • Generation algorithms (independent variables)
    Reminder of the law of propagation of uncertainty
  • General law of propagation of uncertainty
  • Limits of the law of propagation of uncertainty
    Propagation of distributions
  • Numerical algorithms
  • Application of the results
  • Sensitivity coefficients
    Generalised use of numerical methods
  • Processing non-normal distribution laws
  • Modelling random and systematic occurrences
  • Covariance
    Sample applications
  • Linear and non-linear model
From 1200 € 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 875 € 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
  • Applied to real cases provided by the participants
  • Post-course support and mentoring