Prerequisite: MATH 114.
Course Description: Introduction to probability
and statistics with applications to computer science,
engineering, operations research, and information technology.
Basic concepts of probability, random variables and
expectation, Poisson process, 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.
f,s,sum
Spring 09 Office Hours: :
Monday and Wednesday (1:30 p.m. - 2:45 p.m.)
Tuesday and Thursday (3:00 p.m. - 4:15 p.m.)
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