ORIE 3500

ORIE 3500

Course information provided by the Courses of Study 2024-2025.

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:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5500

  • 4 Credits Graded

  •  6806 ORIE 3500   LEC 001

    • MWF Kimball Hall B11
    • Aug 26 - Dec 9, 2024
    • Patie, P

  • Instruction Mode: In Person

  •  6517 ORIE 3500   DIS 201

  • Instruction Mode: In Person
    Please contact orie-ug-support@cornell.edu to enroll.

  •  6518 ORIE 3500   DIS 202

  • Instruction Mode: In Person
    Please contact orie-ug-support@cornell.edu to enroll.

  •  6519 ORIE 3500   DIS 203

  • Instruction Mode: In Person
    Please contact orie-ug-support@cornell.edu to enroll.

  •  6520 ORIE 3500   DIS 204

  • Instruction Mode: In Person
    Please contact orie-ug-support@cornell.edu to enroll.

  •  6937 ORIE 3500   DIS 205

  • Instruction Mode: In Person