ORIE 3500

ORIE 3500

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, Summer.

Prerequisites/Corequisites Prerequisite: ENGRD 2700 or equivalent.

View Enrollment Information

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

  • 4 Credits GradeNoAud

  •  9358 ORIE 3500   LEC 001

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

  • Instruction Mode: In Person

  •  9032 ORIE 3500   DIS 201

  • Instruction Mode: In Person

  •  9033 ORIE 3500   DIS 202

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

  • Instruction Mode: In Person

  •  9034 ORIE 3500   DIS 203

  • Instruction Mode: In Person

  •  9035 ORIE 3500   DIS 204

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

  • Instruction Mode: In Person

  •  9517 ORIE 3500   DIS 205

  • Instruction Mode: In Person