STAT650

Applied Stochastic Processes

Prerequisite: STAT410; or students who have taken courses with comparable content may contact the department. Basic concepts of stochastic processes. Markov processes (discrete and continuous parameters), Random walks, Poisson processes, Birth and death processes. Renewal processes and basic limit theorems. Discrete time martingales, stopping times, optional sampling theorem. Applications from theories of stochastic epidemics, survival analysis and others.

Spring 2026

2 reviews
Average rating: 4.50

Spring 2025

2 reviews
Average rating: 4.50

Past Semesters

2 reviews
Average rating: 4.50

2 reviews
Average rating: 4.50

2 reviews
Average rating: 4.50

1 review
Average rating: 5.00

0 reviews
Average rating: N/A

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Average rating: N/A

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.29 between 221 students*

STAT650 Grade Distribution+-05101520253035404550% of studentsABCDFWother
A-: 14.48%
A: 23.08%
A+: 8.6%
B-: 6.33%
B: 21.27%
B+: 9.95%
C: 2.26%
C+: 1.36%
D-: 0.45%
W: 4.07%
other: 8.14%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.