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 2019, Winter 2020
Instructors: Jan Bajcsy (Fall) Harry Leib (Winter)
Not open to students who have taken ECSE 305.