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DTSTAMP:20260706T082115Z
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DTSTART:20180516T073000Z
DTEND:20180518T153000Z
DESCRIPTION:Uncertainty in computer simulations\, deterministic and probabi
 listic methods for quantifying uncertainty\, OpenTurns software\, Uranie s
 oftwareContent\nUncertainty quantification takes into account the fact tha
 t most inputs to a simulation code are only known imperfectly. It seeks to
  translate this uncertainty of the data to improve the results of the simu
 lation. This training will introduce the main methods and techniques by wh
 ich this uncertainty propagation can be handled without resorting to an ex
 haustive exploration of the data space. HPC plays an important role in the
  subject\, as it provides the computing power made necessary by the large 
 number of simulations needed.\nThe course will present the most important 
 theoretical tools for probability and statistical analysis\, and will illu
 strate the concepts using the OpenTurns software.Course OutlineDay 1\n- Ge
 neral methodology for handling uncertainty\, presentation of a case study\
 n- Fundamental notions from probability and statistics\n- General introduc
 tion to the software tools: OpenTurns and Uranie\n Day 2\n- Statistical e
 stimation: parametric and non-parametric\, testing\n- Modeling with non-nu
 merical data: expert judgement\, entropy\n- Central trend: local and gloal
  sensitivity indices (design of experiments\, sampling\, Sobol indices)\n-
  computing the probability of rare events\, simulation methods\, FORM/SORM
 \n Day 3\n- Distributed computing: parallel solvers\, batch jobs submissi
 on on a parallel computer\, implementation within OpenTurns / Salomeie\nan
 d Uranie\n- Introduction to meta-model building\, least-squares\, other re
 sponse surface\, Kriging\, neural networks\n- Introduction to polynomial c
 haosLearning outcomes\nLearn to recognize when uncertainty quantification 
 can bring new insight to simulations.\nKnow the main tools and techniques 
 to investigate uncertainty propagation.\nGain familiarity with modern tool
 s for actually carrying out the computations in a HPC context.Prerequisite
 s\nBasic knowledge of probability will be useful\, as will a basic familia
 rity with Linux.\n\nhttps://events.prace-ri.eu/event/680/
SUMMARY:Uncertainty quantification @ MdlS
URL;VALUE=URI:https://events.prace-ri.eu/event/680/
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