MATH 4110
Introduction to Stochastic Processes
Course Description
Prerequisites
MATH 3100 and MATH 3351
Disciplines
Chemical, Mathematical, and Physical Universe
Topics in probability selected from Random walks, Markov processes, Brownian motion, Poisson processes, branching processes, stationary time series, linear filtering and prediction, queuing processes, and renewal theory. Prerequisites: MATH 3100 and MATH 3351.
Instructors
Yen Do
Fall 2026
tuth 12:30pm - 1:45pm
1.7
Rating
5.0
Difficulty
3.71
GPA
Juraj Foldes
Spring 2026
tuth 12:30pm - 1:45pm
—
Rating
—
Difficulty
3.62
GPA
Tai Melcher
Spring 2026
mowe 2:00pm - 3:15pm
4.0
Rating
4.0
Difficulty
3.18
GPA
Christian Gromoll
Fall 2023
TuTh 9:30am - 10:45am
3.7
Rating
3.0
Difficulty
—
GPA
Abdelmalek Abdesselam
Spring 2022
TuTh 11:00am - 12:15pm
—
Rating
—
Difficulty
3.60
GPA
Axel Rodriguez
Spring 2019
—
Rating
—
Difficulty
—
GPA
Hans Gromoll
Fall 2017
—
Rating
—
Difficulty
3.38
GPA
Axel Roddriguez
Spring 2017
3.4
Rating
4.0
Difficulty
—
GPA