109. Engineering Probability and Statistics (4)
Axioms of probability, conditional probability, theorem of total probability,
random variables, densities, expected values, characteristic functions,
transformation of random variables, central limit theorem. Random number
generation, engineering reliability, elements of estimation, random sampling,
sampling distributions, tests for hypothesis. Three hours of lecture, one hour
of discussion.
Prerequisites: Math. 20A-B-C-D-F with grades of C or better (ECE 101 recommended).
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