ORIE 3500

ORIE 3500

Course information provided by the Courses of Study 2021-2022.

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:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5500

  • 4 Credits GradeNoAud

  •  9996 ORIE 3500   LEC 001

    • MWF Hollister Hall B14
    • Aug 26 - Dec 7, 2021
    • Samorodnitsky, G

  • Instruction Mode: In Person

  •  9271 ORIE 3500   DIS 201

    • M Upson Hall 222
    • Aug 26 - Dec 7, 2021
    • Samorodnitsky, G

  • Instruction Mode: In Person

  •  9272 ORIE 3500   DIS 202

    • T Phillips Hall 403
    • Aug 26 - Dec 7, 2021
    • Samorodnitsky, G

  • Instruction Mode: In Person

  •  9273 ORIE 3500   DIS 203

    • W Phillips Hall 407
    • Aug 26 - Dec 7, 2021
    • Samorodnitsky, G

  • Instruction Mode: In Person

  •  9274 ORIE 3500   DIS 204

  • Instruction Mode: In Person

  • 10456 ORIE 3500   DIS 205

    • F Upson Hall 222
    • Aug 26 - Dec 7, 2021
    • Samorodnitsky, G

  • Instruction Mode: In Person