ECSE 205 Probability and Statistics for Engineers (3 credits)

Offered by: Electrical & Computer Engr (Faculty of Engineering)


Electrical Engineering : 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: Fall 2024, Winter 2025

Instructors: There are no professors associated with this course for the 2024-2025 academic year.

  • Not open to students who have taken ECSE 305.

  • (3-2-4)

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