ORIE 5500

ORIE 5500

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.

Prerequisites/Corequisites Prerequisite: ENGRD 2700.

View Enrollment Information

Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 3500

  • 4 Credits Graded

  •  9285 ORIE 5500   LEC 001

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

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

  •  9286 ORIE 5500   DIS 201

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

  • Instruction Mode: In Person

  •  9287 ORIE 5500   DIS 202

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

  • Instruction Mode: In Person

  •  9288 ORIE 5500   DIS 203

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

  • Instruction Mode: In Person

  •  9289 ORIE 5500   DIS 204

  • Instruction Mode: In Person

  • 10457 ORIE 5500   DIS 205

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

  • Instruction Mode: In Person