Control the performances

The modelling of uncertainties associated with a product allows the performance of the product to be predicted in all possible cases. This training course presents the essential tools for modelling and analysing uncertainties.


1-day course


  • See the different stages of the “Uncertainties” approach.
  • Learn the standard algorithms for the propagation of uncertainties
  • Achieve all stages of propagation through a Python model


  • Good knowledge of probability theory
  • Knowledge of Python recommended


  • R&D Engineer
  • Design office engineer
  • Operational Safety Engineer


Upcoming sessions

  • March 26, 2021
  • October 1, 2021


18/20 Boulevard Reuilly, 75012 PARIS – Métro Dugommier




Propagation of uncertainties

  • Probabilistic model
  • Physical model
  • Sampling
  • Analysis of the results distribution

Central tendency analysis

  • Quadratic cumulation method
  • Monte Carlo simulation

Practice work with Python

  • Create the probabilistic model
  • Create the physical model
  • Propagate uncertainties

Application form

Register or ask for further information. Personalised training courses can also be provided. The location of the training is subject to change. Training courses can be held at a distance. In this case, the training can be delivered in several short sessions (e.g. 2 hours) via videoconference software, spread over several days, in agreement with the trainer and the participants.


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