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Part 3 · Course

SE388 STOCHASTIC MODELS

Systems Engineering · 9 versions

Offerings are listed from 2027-1 Fall through 2031-1 Fall.

SE388 STOCHASTIC MODELS

  • 3.0 credit hours
  • (BS=0.0, ET=0.0, MA=0.0)
  • Version 2004-2
  • Archived
Scope
Emphasizes the understanding of concepts underlying many of the models used by Systems Engineers. It introduces cadets to stochastic models that describe how systems change over time. It emphasizes models of random events that occur in real world examples. The topics covered include Markov Chains, Poisson Processes, queue processes, and reliability processes. Applications are from many areas, including telecommunication systems, combat systems, and industrial production and distribution systems. Communication skills are developed with both written reports and oral presentations. Cadets will spend two to six lessons in a computer lab environment.
Lessons
40 @ 55 min (2.500 Att/wk)
Labs
0 @ 0 min
Special requirements
None
Prerequisites
all of MA206, SE387