ORIE 3500

ORIE 3500

Course information provided by the 2024-2025 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/Corequisites Prerequisite: ENGRD 2700 or equivalent.

Last 4 terms offered 2024FA, 2024SU, 2023FA, 2023SU

When Offered Fall, Summer.

View Enrollment Information

Syllabi: none
  •   Summer Special Session 2.  Choose one lecture and one discussion. Combined with: ORIE 5500

  • 4 Credits Graded

  •  1215 ORIE 3500   LEC 001

    • MTWRF
    • May 27 - Jul 7, 2025
    • Chazal, M

  • Instruction Mode: Distance Learning-Synchronous

    This Summer Session class is offered by the School of Continuing Education and Summer Sessions. For details visit: https://sce.cornell.edu/courses/roster.

  •  1216 ORIE 3500   DIS 201

    • TR
    • May 27 - Jul 7, 2025
    • Chazal, M

  • Instruction Mode: Distance Learning-Synchronous

    This Summer Session class is offered by the School of Continuing Education and Summer Sessions. For details visit: https://sce.cornell.edu/courses/roster.