Course Description
Formulation and analysis of stochastic models with particular emphasis on applications in industrial engineering; univariate, multivariate and conditional probability distributions; unconditional and conditional expectations; elements of stochastic processes; moment-generating functions; concepts of stochastic convergence; limit theorems; homogeneous, nonhomogeneous and compound Poisson processes; basic renewal theory; transient and steady-state properties of Markov processes in discrete and continuous time.
DE Fee
Engineering Online GRAD
DE Program
MS E
FALL 2019
Classes Start:
August 21, 2019
Classes End:
December 6, 2019
Distance Education:
Yes
Class Type:
Lecture
Credits:
3.00
Delivery Method:
Internet
Restrictions:
Prerequisite: MA 303, ST 371 Enrollment for this course is through the Engineering Online Registration System. Go to http://go.ncsu.edu/eol_registration
