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INTRODUCTION TO STOCHASTIC PROCESSES

ISYE/MATH/OTM/STAT 632
Course Description

Topics include discrete-time Markov chains, Poisson point processes, continuous-time Markov chains, and renewal processes. Applications to queueing, branching, and other models in science, engineering and business.

Prerequisites

(MATH/STAT 431 , MATH/STAT 309 , STAT 311 or MATH 531 ) and (MATH 320 , MATH 340 , MATH 341 , MATH 375 , MATH 421 or MATH 531 ) or graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program

Satisfies
Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.25

6.35% from Historical

Completion Rate
96.23%

3.71% from Historical

A Rate
32.08%

-13.12% from Historical

Class Size
53

-7.56% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

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