ORIE 6510

ORIE 6510

Course information provided by the 2022-2023 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/Corequisites Prerequisite: real analysis at level of MATH 4130, one-semester calculus-based probability course.

When Offered Spring.

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

  • 4 Credits Stdnt Opt

  •  9195 ORIE 6510   LEC 001

  • Instruction Mode: In Person

  •  9196 ORIE 6510   DIS 201

  • Instruction Mode: In Person