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This course gives an introduction to probability and statistics, with emphasis on engineering applications.

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English

English [CC]

FREE

Description

Course topics include events and their probability, the total probability and Bayes’ theorems, discrete and continuous random variables and vectors, uncertainty propagation and conditional analysis. Second-moment representation of uncertainty, random sampling, estimation of distribution parameters (method of moments, maximum likelihood, Bayesian estimation), and simple and multiple linear regression. Concepts illustrated with examples from various areas of engineering and everyday life

Course content

  • Events and their probability Unlimited
  • Random variables: discrete distributions Unlimited
  • Random variables: continuous distributions Unlimited
  • Random vectors Unlimited
  • Functions of random variables and vectors Unlimited
  • Second-moment characterization of random variables and vectors Unlimited
  • Conditional second-moment analysis Unlimited
  • Selected distribution models Unlimited
  • Point and interval estimation of distribution parameters Unlimited

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Instructor

Massachusetts Institute of Technology
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