ORIE 5500

ORIE 5500

Course information provided by the Courses of Study 2016-2017.

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.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: ENGRD 2700.

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Enrollment Information
Syllabi: none
  •   Choose one lecture and one discussion. Combined with: ORIE 3500

  • 4 Credits Graded

  • 10788ORIE 5500  LEC 001

  • Co-meets with ORIE 3500.

  • 10789ORIE 5500  DIS 201

  • 10790ORIE 5500  DIS 202

  • 10791ORIE 5500  DIS 203

  • 10792ORIE 5500  DIS 204

  • 12576ORIE 5500  DIS 205