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.

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1-day course

Objectives

  • 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

prerequisites

  • Good knowledge of probability theory
  • Knowledge of Python recommended

AUDIENCE

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

 

Upcoming sessions

  • March 26, 2021
  • October 1, 2021

PLACE

18/20 Boulevard Reuilly, 75012 PARIS – Métro Dugommier


MANAGER

Gaëtan BLONDET

Program

Propagation of uncertainties

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

Central tendency analysis

  • Quadratic cumulation method
  • Monte Carlo simulation

Practice with Python

  • Create the probabilistic model
  • Create the physical model
  • Propagate uncertainties
catalogue_2021_incertitude

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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FRANCE


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Pépinière Galileo

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FRANCE


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