Privacy | Terms

theCourseForum
© v1.3.0

MATH 4110

Introduction to Stochastic Processes

New Add to Schedule

Course Description

Pre-Requisite(s): MATH 3100 and MATH 3351
Discipline(s): 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.


  • Juraj Foldes
     Rating

    —

     Difficulty

    —

     GPA

    3.69

     Sections

    1

    Last Taught

    Spring 2026

  • Tai Melcher
     Rating

    4.00

     Difficulty

    4.00

     GPA

    3.17

     Sections

    —

    Last Taught

    Fall 2025

  • Yen Do
     Rating

    1.67

     Difficulty

    5.00

     GPA

    3.71

     Sections

    —

    Last Taught

    Fall 2024

  • Christian Gromoll
     Rating

    3.67

     Difficulty

    3.00

     GPA

    —

     Sections

    —

    Last Taught

    Fall 2023

  • Abdelmalek Abdesselam
     Rating

    —

     Difficulty

    —

     GPA

    3.60

     Sections

    —

    Last Taught

    Spring 2022

  • Axel Rodriguez
     Rating

    —

     Difficulty

    —

     GPA

    —

     Sections

    —

    Last Taught

    Spring 2019

  • Axel Roddriguez
     Rating

    3.44

     Difficulty

    4.00

     GPA

    —

     Sections

    —

    Last Taught

    Spring 2017

  • Hans Gromoll
     Rating

    —

     Difficulty

    —

     GPA

    3.38

     Sections

    —

    Last Taught

    Fall 2017