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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 2012, Winter 2013

Instructors: Benoit Champagne (Fall) Peter Edwin Caines (Winter)

  • (3-2-4)
  • Prerequisite: ECSE 303 or ECSE 306.
  • Tutorials assigned by instructor.