STA 621

Applied Stochastic Processes

Duke University · UGRD · Fall 2026

1 section
Add to a schedule

Catalog description

An introduction to stochastic processes without measure theory. Topics selected from: Markov chains in discrete and continuous time, queuing theory, branching processes, martingales, Brownian motion, stochastic calculus. Prerequisite: Mathematics 230 or Mathematics 340 or equivalent.

Sections

Current meeting, instructor, credit, and enrollment details

Updated 3 hours ago

001

Availability not recently verified
Class #duke-STA621Fall 2026UGRD3 credits
Days & times
No scheduled meeting time
Meeting dates
Location
Instructor
Staff
Class numbers and section codes come from the registrar.
Spot missing or incorrect course data?