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Vue d'ensemble

Génie électrique : 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

Instructors: Radhakrishnan, Sindhu (Fall) Radhakrishnan, Sindhu (Winter)

• Prerequisite: MATH 262

• Not open to students who have taken ECSE 305.

• (3-2-4)