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Vue d'ensemble
G茅nie 茅lectrique : Probability: basic probability model, conditional probability, Bayes rule, random variables and vectors, distribution and density functions, common distributions in engineering, expectation, moments, independence, laws of large numbers, central limit theorem. Statistics: descriptive measures of engineering data, sampling distributions, estimation of mean and variance, confidence intervals, hypothesis testing, linear regression.
Terms: Automne 2024, Hiver 2025, 脡t茅 2025
Instructors: Radhakrishnan, Sindhu (Fall) Radhakrishnan, Sindhu (Winter) Radhakrishnan, Sindhu (Summer)
