ORIE 5500

ORIE 5500

Course information provided by the Courses of Study 2022-2023.

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

  •  9044 ORIE 5500   LEC 001

    • MWF Kimball Hall B11
    • Aug 22 - Dec 5, 2022
    • Goldberg, D

  • Instruction Mode: In Person
    Co-meets with ORIE 3500.

  •  9045 ORIE 5500   DIS 201

  • Instruction Mode: In Person

  •  9046 ORIE 5500   DIS 202

    • T Upson Hall 206
    • Aug 22 - Dec 5, 2022
    • Goldberg, D

  • Instruction Mode: In Person

  •  9047 ORIE 5500   DIS 203

  • Instruction Mode: In Person

  •  9048 ORIE 5500   DIS 204

    • R To Be Assigned
    • Aug 22 - Dec 5, 2022
    • Goldberg, D

  • Instruction Mode: In Person

  •  9518 ORIE 5500   DIS 205

  • Instruction Mode: In Person