ORIE 5500

ORIE 5500

Course information provided by the 2018-2019 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.

When Offered Fall.

View Enrollment Information

Syllabi: none
  •   Summer Special Session 2.  Choose one lecture and one discussion. Combined with: ORIE 3500

  • 4 Credits Graded

  •  1203 ORIE 5500   LEC 001

    • MTWRF Phillips Hall 213
    • May 23 - Jul 3, 2019
    • Chazal, M

  • Instruction Mode: In Person

  •  1204 ORIE 5500   DIS 201

  • Instruction Mode: In Person

    This 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