ECSE 305 Probability and Random Signals 1 (3 credits)

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

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 2017, Winter 2018

Instructors: Harry Leib (Fall) Donald Peter Davis, Jamal Saboune (Winter)