ORIE 3500

Last Updated

  • Schedule of Classes - March 20, 2026 3:39PM EDT

ORIE 3500
Eng Probability and Statistics: Modeling and Data Science II

Course information provided by the 2026-2027 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 ENGRD 2700 or equivalent.

Last 4 Terms Offered 2025FA, 2025SU, 2024FA, 2024SU

View Enrollment Information

Syllabi: none

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

  • 4 Credits Graded

  •  9048 ORIE 3500   LEC 001

  •  
    • MWF
    • Aug 24 - Dec 7, 2026

    • Samorodnitsky, G

  • Instruction Mode: In Person

  •  9049 ORIE 3500   DIS 201

  •  
    • M
    • Aug 24 - Dec 7, 2026

    • Samorodnitsky, G

  • Instruction Mode: In Person

  •  9050 ORIE 3500   DIS 202

  •  
    • T
    • Aug 24 - Dec 7, 2026

    • Samorodnitsky, G

  • Instruction Mode: In Person

  •  9051 ORIE 3500   DIS 203

  •  
    • W
    • Aug 24 - Dec 7, 2026

    • Samorodnitsky, G

  • Instruction Mode: In Person

  •  9052 ORIE 3500   DIS 204

  •  
    • R
    • Aug 24 - Dec 7, 2026

    • Samorodnitsky, G

  • Instruction Mode: In Person

  •  9053 ORIE 3500   DIS 205

  •  
    • F
    • Aug 24 - Dec 7, 2026

    • Samorodnitsky, G

  • Instruction Mode: In Person