MA101 : Probability and statistics: an introductory course
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The aim of this course is to present some tools to analyse the huge quantity of data an engineer has to face during his work, and how to use some simple models to help him take decisions, or at least evaluate their risks in random environnement.
In this course, we introduce the basic notions of probability and statistics: random variables (discrete and continuous), the strong law of large number, the theorem of central limit, estimation, confidence regions and tests in a parametric framework. This course is highlighted by many examples from different fields: mathematics, biology, physics,...