ORIE 5500

ORIE 5500

Course information provided by the Courses of Study 2015-2016.

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.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 3500

  • 4 Credits Graded

  • 11421 ORIE 5500   LEC 001

  • Co-meets with ORIE 3500.

  • 11422 ORIE 5500   DIS 201

  • 11423 ORIE 5500   DIS 202

  • 11424 ORIE 5500   DIS 203

  • 11425 ORIE 5500   DIS 204

  • 13387 ORIE 5500   DIS 205