Volgenau School of Engineering
George Mason University
George Mason University Mason
George Mason University

STAT 344: Probability and Statistics for Engineers and Scientists I

Instructor Information

Section Information

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, central limit theorem, sampling distributions, maximum likelihood and unbiased estimators, confidence interval construction, and hypothesis testing.

Course Information from University Catalog

Limited to 2 Attempts


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, central limit theorem, sampling distributions, maximum likelihood and unbiased estimators, confidence interval construction, and hypothesis testing. 

When Offered: Fall, Spring, Summer

Hours of Lecture or Seminar per week: 3

Credits: 3

Prerequisites:

MATH 114 or MATH 116.

Instructor Information