OPMG-GB 3321

Stochastic Processes

New York University · UGRD · Fall 2026

1 section
Add to a schedule

Catalog description

This Doctoral course will serve as an introductory course to stochastic processes We will closely follow the book Stochastic Processes by Ross The course will begin with a one week review of basic concepts in probability and then proceed to the study of Poisson processes renewal processes discrete time Markov chains and finally continuous time Markov chains The are no prerequisites for the course however a calculus based understanding of probability is helpful Courses in analysis and measure theory are not required A tentative course outline is as follows

Sections

Current meeting, instructor, credit, and enrollment details

Updated 13 hours ago

001

Availability not recently verified
Class #new_york-OPMGGB3321Fall 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?