Mathematics for Engineers - 3EUS1MAT
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Goals
To give students mathematical tools in order to represent physical models
Introduction to probabilistic tools and hazardous phenomenon modelings.
Introduction to statistic notions and parameter estimation or statistical hypothesis validation
Content Differential equations
Complex variable functions
Fourier transform
Laplace transform
Z transform
Elementary probabilities: problem modeling by creating an universe and a set of events, counting, conditional probabilities.
Random, discrete, continuous variables.
Discrete and continuous random vectors.
Gaussian vectors
Central Limit Theorem
PrerequisitesKnowledge about the complex body, cartesian or polar coordinate calculation, geometrical representation
Classical analysis tools: integer series, integration
Tests One written test of 3h and ongoing assessment during the tutorial sessions
EN 30% + ER 70%
Bibliography G.Saporta : probabilités, analyse des données et statistiques, (Technip)
Walter APPEL : Mathématiques pour la Physique et les physiciens,(H&K Editions, )
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Date of update February 8, 2017