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STOCHASTIC MODELING TECHNIQUES

ISYE 624
Course Description

Techniques for modeling systems in which uncertainty is an essential factor. Emphasizes why, how and when techniques can or cannot be applied, rather than their mathematical derivation. Case studies and/or examples from such areas as logistics, production, and service industries.

Prerequisties

(MATH/STAT 309 , STAT 311 , or MATH/STAT 431 ) and (MATH 320 , MATH 340 , MATH 341 , or MATH 375 ), graduate/professional standing, or member of Engineering Guest Students

Satisfies
Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.8

12.8% from Historical

Completion Rate
100%

0.59% from Historical

A Rate
90%

131.14% from Historical

Class Size
10

-52.8% from Historical

Cumulative Grade Distribution

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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