SIE520

Download as PDF

SIE520 - Stochastic Modeling I

Systems & Industrial EngrGraduateUA - UA General

Course ID

031133

Course Description

Modeling of stochastic processes from an applied viewpoint. Markov chains in discrete and continuous time, renewal theory, applications to engineering processes.

Min Units

3

Max Units

3

Repeatable for Credit

No

Grading Basis

GRD - Regular Grades A, B, C, D, E

Career

Graduate

Course Attributes

GIDP - STATD (Statistics and Data Science)

Course Requisites

SIE 321.

May be convened with

Component

Lecture

Optional Component

No