ORIE 3500

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ORIE 3500

Course information provided by the Courses of Study 2024-2025. Courses of Study 2024-2025 is scheduled to publish mid-June.

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 Graded

  •  6806 ORIE 3500   LEC 001

    • MWF
    • Aug 26 - Dec 9, 2024
    • Patie, P

  •  6517 ORIE 3500   DIS 201

    • M
    • Aug 26 - Dec 9, 2024
    • Patie, P

  • Please contact orie-ug-support@cornell.edu to enroll.

  •  6518 ORIE 3500   DIS 202

    • T
    • Aug 26 - Dec 9, 2024
    • Patie, P

  • Please contact orie-ug-support@cornell.edu to enroll.

  •  6519 ORIE 3500   DIS 203

    • W
    • Aug 26 - Dec 9, 2024
    • Patie, P

  • Please contact orie-ug-support@cornell.edu to enroll.

  •  6520 ORIE 3500   DIS 204

    • R
    • Aug 26 - Dec 9, 2024
    • Patie, P

  • Please contact orie-ug-support@cornell.edu to enroll.

  •  6937 ORIE 3500   DIS 205

    • F
    • Aug 26 - Dec 9, 2024
    • Patie, P