ORIE 6510

ORIE 6510

Course information provided by the 2025-2026 Catalog.

Covers sample spaces, events, sigma fields, probability measures, set induction, independence, random variables, expectation, review of important distributions and transformation techniques, convergence concepts, laws of large numbers and asymptotic normality, and conditioning. In the last part of the course, we will cover applications to epidemic modeling.


Prerequisites real analysis at level of MATH 4130, one-semester calculus-based probability course.

Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2022SP

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  •  4852 ORIE 6510   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Samorodnitsky, G

  • Instruction Mode: In Person

  •  4853 ORIE 6510   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Samorodnitsky, G

  • Instruction Mode: In Person