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DTSTAMP:20260628T180318Z
UID:32c00f0d-f229-4128-b1f9-7f1eeee4137b
DTSTART:20150526T073000Z
DTEND:20150528T153000Z
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 probaility and statistics\n- General introduct
 ion to the software tools: OpenTurns and Uranie\n Day 2\n- Statistical es
 timation: parametric and non-parametric\, testing\n- Modeling with non-num
 erical data: expert judgement\, entropy\n- Central trend: local and gloal 
 sensitivity indices (design of experiments\, sampling\, Sool indices)\n- c
 omputing the probability of rare events\, simulation methods\, FORM?SOEM\n
  Day 3\n- Distributed computing: parallel solvers\, batch jobs submission
  on a parallel computer\, implementation within OpenTurns / Salomeie\nand 
 Uranie\n- Introduction to meta-model building\, least-squares\, other resp
 onse surface\, Krieging\, neural networks\n- Introduction to polynomial ch
 aosLearning outcomes\nLearn to recognize when uncertainty quantification c
 an bring new insight to simulations.\nKnow the main tools and techniques t
 o investigate uncertainty propagation.\nGain familiarity with modern tools
  for actually carrying out the computations in a HPC context.Prerequisites
 \nBasic knowledge of probability will be useful\, as will a basic familiar
 ity with Linux.\n\nhttps://events.prace-ri.eu/event/372/
SUMMARY:Uncertainty quantification @ MdS
URL;VALUE=URI:https://events.prace-ri.eu/event/372/
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