ORIE 3500

ORIE 3500

Course information provided by the 2025-2026 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 REF-FA25/Corequisites REF-FA25 ENGRD 2700 or equivalent. Corequisites: None.

Last 4 terms offered (None)

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

  • 4 Credits Graded

  •  4652 ORIE 3500   LEC 001

    • MWF
    • Aug 25 - Dec 8, 2025
    • Patie, P

  • Instruction Mode: In Person

  •  4384 ORIE 3500   DIS 201

    • M
    • Aug 25 - Dec 8, 2025
    • Patie, P

  • Instruction Mode: In Person

  •  4385 ORIE 3500   DIS 202

    • T
    • Aug 25 - Dec 8, 2025
    • Patie, P

  • Instruction Mode: In Person

  •  4386 ORIE 3500   DIS 203

    • W
    • Aug 25 - Dec 8, 2025
    • Patie, P

  • Instruction Mode: In Person

  •  4387 ORIE 3500   DIS 204

    • R
    • Aug 25 - Dec 8, 2025
    • Patie, P

  • Instruction Mode: In Person

  •  4770 ORIE 3500   DIS 205

    • F
    • Aug 25 - Dec 8, 2025
    • Patie, P

  • Instruction Mode: In Person