ORIE 5500

ORIE 5500

Course information provided by the Courses of Study 2020-2021. Courses of Study 2021-2022 is scheduled to publish by July 1.

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.

Prerequisites/Corequisites Prerequisite: ENGRD 2700.

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 3500

  • 4 Credits Graded

  •  9285ORIE 5500  LEC 001

    • MWFTo Be Assigned
    • Aug 26 - Dec 7, 2021
    • Samorodnitsky, G

  • Instruction Mode: Planned for In Person
    Co-meets with ORIE 3500.

  •  9286ORIE 5500  DIS 201

    • MTo Be Assigned
    • Aug 26 - Dec 7, 2021
    • Samorodnitsky, G

  • Instruction Mode: Planned for In Person

  •  9287ORIE 5500  DIS 202

    • TTo Be Assigned
    • Aug 26 - Dec 7, 2021
    • Samorodnitsky, G

  • Instruction Mode: Planned for In Person

  •  9288ORIE 5500  DIS 203

    • WTo Be Assigned
    • Aug 26 - Dec 7, 2021
    • Samorodnitsky, G

  • Instruction Mode: Planned for In Person

  •  9289ORIE 5500  DIS 204

    • RTo Be Assigned
    • Aug 26 - Dec 7, 2021
    • Samorodnitsky, G

  • Instruction Mode: Planned for In Person

  • 10457ORIE 5500  DIS 205

    • FTo Be Assigned
    • Aug 26 - Dec 7, 2021
    • Samorodnitsky, G

  • Instruction Mode: Planned for In Person