ORIE 5500

ORIE 5500

Course information provided by the 2026-2027 Catalog.

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.


Prerequisites ENGRD 2700.

Last 4 Terms Offered 2025FA, 2025SU, 2024FA, 2024SU

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 3500

  • 4 Credits Graded

  •  9100 ORIE 5500   LEC 001

    • MWF
    • Aug 24 - Dec 7, 2026
    • Samorodnitsky, G

  • Instruction Mode: In Person

  •  9101 ORIE 5500   DIS 201

    • M
    • Aug 24 - Dec 7, 2026
    • Samorodnitsky, G

  • Instruction Mode: In Person

  •  9102 ORIE 5500   DIS 202

    • T
    • Aug 24 - Dec 7, 2026
    • Samorodnitsky, G

  • Instruction Mode: In Person

  •  9103 ORIE 5500   DIS 203

    • W
    • Aug 24 - Dec 7, 2026
    • Samorodnitsky, G

  • Instruction Mode: In Person

  •  9104 ORIE 5500   DIS 204

    • R
    • Aug 24 - Dec 7, 2026
    • Samorodnitsky, G

  • Instruction Mode: In Person

  •  9105 ORIE 5500   DIS 205

    • F
    • Aug 24 - Dec 7, 2026
    • Samorodnitsky, G

  • Instruction Mode: In Person