ECE 3610-3: Engineering Probability & Statistics
An introduction to probability and statistics with application to solving engineering problems. Includes the axioms of probability, random variables, density functions, distributions functions, expectations. Gaussian random variables, bivariate random variables, sums of independent random variables. Estimation of sample mean and variance. Monte Carlo simulation, binomial, hypergeometric, Poisson counting processes. Erlang model and applications to telephone calls, etc., introduction to queues, confidence intervals, reliability, failure rates, the Weibull model, the lognormal model, estimation using regression. Introduction to random processes. Involves a project making use of simulation of random variables on a computer.
Prerequisite: MATH 235
Course grade averages can be found at the following links: Final Exam Histogram, Course Average Histogram.
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