ORIE 3500

ORIE 3500

Course information provided by the Courses of Study 2018-2019.

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, Summer.

Prerequisites/Corequisites Prerequisite: ENGRD 2700 or equivalent.

Comments Co-meets with ORIE 5500.

View Enrollment Information

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

  • 4 Credits Graded

  • 11535ORIE 3500  LEC 001

  • 10611ORIE 3500  DIS 201

  • 10612ORIE 3500  DIS 202

  • 10613ORIE 3500  DIS 203

  • 10614ORIE 3500  DIS 204

  • 12063ORIE 3500  DIS 205