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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 PROBABILISTIC MODELS

  • 3.0 credit hours
  • (BS=0.0, ET=3.0, MA=0.0)
  • Version 1991-2
  • Archived
Scope
The second of a two-course sequence that is part of the engineering science foundation for subsequent courses in systems engineering. This course introduces cadets to many of the classical stochastic models used by systems engineers and continues to emphasize the modeling process studied in SE387. Topics include inventory models, forecasting techniques, queuing systems, discrete event simulations, and a brief introduction to decision analysis. The cadet will be able to apply skills learned in this course to many military planning and resource allocation problems. The stochastic models extend and build on the deterministic models studied in SE387. Cadets are introduced to discrete event simulation as an analysis alternative to analytical models. A major course exercise involves cadets building a spreadsheet simulation model. Communication skills are developed with both written reports and oral discussions.
Lessons
40 @ 55 min (2.500 Att/wk)
Labs
0 @ 0 min
Special requirements
Two group design exercises; compensatory time provided.
Prerequisites
all of MA206, SE387
Disqualifiers
SE380