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380. Probability, Statistics, and Stochastic Modeling (3)

  • Prerequisites: MATH 122, CECS 174.
  • Probability with an emphasis on computer modeling of probabilistic systems. Topics such as discrete and continuous random variables, moments, correlation, covariance, Markov processes and queuing theory presented from a mathematical foundation developed and exemplified with realistic computer simulations from students.
  • (Lecture 2 hrs – laboratory 3 hrs). Letter grade only (A-F).
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Electrical Engineering (EE)

Engineering Technology (ET)

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*Note: although every effort is made to keep this Web site up to date, you should also consult the printed catalog for official information and program requirements, which may vary depending on the year you enter(ed) the program.

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