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 2015, Winter 2016
Instructors: Champagne, Benoit (Fall) Caines, Peter Edwin (Winter)