ORIE 5500

ORIE 5500

Course information provided by the Courses of Study 2022-2023.

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.

View Enrollment Information

Syllabi: none
  •   Summer Special Session 2.  Choose one lecture and one discussion.

  • 4 Credits Graded

  •  1268 ORIE 5500   LEC 001

    • MTWRF Online Meeting
    • May 30 - Jul 7, 2023
    • Grigorian, K

  • Instruction Mode: Distance Learning-Synchronous
    This Online Summer Session class is offered by the School of Continuing Education and Summer Sessions. For details visit http://www.sce.cornell.edu/ss/courses/courses.php?v=1282

  •  1269 ORIE 5500   DIS 201

    • TR Online Meeting
    • May 30 - Jul 7, 2023
    • Grigorian, K

  • Instruction Mode: Distance Learning-Synchronous
    This Online Summer Session class is offered by the School of Continuing Education and Summer Sessions. For details visit http://www.sce.cornell.edu/ss/courses/courses.php?v=1282