IE4011
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IE 4011 - Stochastic Models (4 Cr.) Online may be available
Industrial and Systems Engineering (11138)
TIOT - College of Science and Engineering
Course description
Models for describing/evaluating random systems. Formulating/analyzing stochastic models for business. Discrete-time/continuous-time Markov chains. Poisson processes. Markovian/non-Markovian queueing theory. Inventory management, manufacturing, reliability.
prereq: MATH 2374, MATH 2142 or MATH 2373 or equivalent, 3521 or Stat 3021, CSE Upper Division
prereq: MATH 2374, MATH 2142 or MATH 2373 or equivalent, 3521 or Stat 3021, CSE Upper Division
Minimum credits
4
Maximum credits
4
Is this course repeatable?
No
Grading basis
A-F - A-F Grade Basis
Lecture
Requirements
012268
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Every Spring