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Probabilities

  • School / Prep

    ENSEIRB-MATMECA

Internal code

ET5MA105

Description

The course introduces the basic concepts needed to understand random models and characterize them. This module also includes training in the Python language.

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Teaching hours

  • CMLectures12h
  • TDTutorial12h
  • TIIndividual work17h
  • PRACTICAL WORKPractical work13,33h

Mandatory prerequisites

Syllabus

I) From discrete to continuousII) Convergence of random variablesIII) Random vectors (and back to random variables)IV) Gaussian vectors

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Further information

Applied mathematics

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Assessment of knowledge

Initial assessment / Main session

Type of assessmentNature of assessmentDuration (in minutes)Number of testsEvaluation coefficientEliminatory evaluation markRemarks
Continuous controlActive Participation0.25
Continuous controlMinutes0.25
Final inspectionWritten900.5without document without calculator

Second chance / Catch-up session

Type of assessmentNature of assessmentDuration (in minutes)Number of testsEvaluation coefficientEliminatory evaluation markRemarks
Continuous controlMinutes0.5TP session 1 grade carried forward
Final testWritten900.5without document without calculator