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Overview
Electrical Engineering : The basic probability model, the heuristics of model-building and the additivity of probability; classical models; conditional probability and Bayes rule; random variables and vectors, distribution and density functions, expectation; statistical independence, laws of large numbers, central limit theorem; introduction to random processes and random signal analysis.
Terms: Fall 2016, Winter 2017
Instructors: Caines, Peter Edwin (Fall) Leib, Harry (Winter)