STAT 344 Probability and Statistics for Engineers and Scientists I
(3:3:0)
Prerequisite: MATH 213. Introduction to probability and statistics with applications to
computer science, engineering, operations research, and information technology.
Basic concepts in probability, random variables and expectation, Poisson processes,
bivariate distributions, sums of independent random variables, correlation and least
squares estimation, central limit theorem, sampling distributions, maximum
likelihood and unbiased estimators, confidence interval construction, and
hypothesis testing.
Taught by Cliff Sutton,
Syllabi available from C. Sutton