ORIE 3500

ORIE 3500

Course information provided by the 2016-2017 Catalog.

A rigorous foundation in theory combined with the methods for modeling, analyzing, and controlling randomness in engineering problems. Probabilistic ideas are used to construct models for engineering problems, and statistical methods are used to test and estimate parameters for these models. Specific topics include random variables, probability distributions, density functions, expectation and variance, multidimensional random variables, and important distributions including normal, Poisson, exponential, hypothesis testing, confidence intervals, and point estimation using maximum likelihood and the method of moments.


Prerequisites/Corequisites Prerequisite: ENGRD 2700 or equivalent.

When Offered Fall, summer.

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5500

  • 4 Credits Graded

  • 11893 ORIE 3500   LEC 001

  • Instruction Mode: In Person

  • 10773 ORIE 3500   DIS 201

  • Instruction Mode: In Person

  • 10774 ORIE 3500   DIS 202

  • Instruction Mode: In Person

  • 10775 ORIE 3500   DIS 203

  • Instruction Mode: In Person

  • 10776 ORIE 3500   DIS 204

  • Instruction Mode: In Person

  • 12575 ORIE 3500   DIS 205

  • Instruction Mode: In Person