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ECSE 205. Probability and Statistics for Engineers

Credits: 3
Offered by: Electrical & Computer Engr (Faculty of Engineering)
Terms offered: Fall 2026, Winter 2027
View offerings for Fall 2026 or Winter 2027 in Visual Schedule Builder.

Description

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.
  • Prerequisite: MATH 262
  • Not open to students who have taken ECSE 305.
  • (3-2-4)

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