Study of probability, statistics and random processes with engineering applications. Topics include probability models, statistical independence, conditional probability, random variables, distribution functions, density functions, normal random variables, joint density functions, expectations, means, variances, correlation, covariance, statistical estimate of random parameters, sampling distributions, reliability, random processes, power spectral density, and response of LTI systems to random inputs.
Credit Weight:
0.5
Prerequisite(s):
Mathematics 2090
Offering:
0-0; 3-1
Notes:
Restricted to students in the BEng (Electrical Engineering) Lakehead Georgian Partnership program.
Course Classifications:
Type C: Engineering, Mathematical and Natural Sciences
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