Catalog Course Description

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
Offered: Spring

Dr. Wickert Office Hours: Spring 2004 offering of this course completed

Course Syllabus as of [an error occurred while processing this directive].

Lecture Notes (removed until offered again)

Homework and Exam Solutions (removed until offered again)

Final MATLAB Project for Spring 2004


Problem Sets


News for 5-19-2004: Grading is Complete

Course grade averages can be found at the following links: Final Exam Histogram, Course Average Histogram.

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