ORIE 6510

ORIE 6510

Course information provided by the Courses of Study 2021-2022.

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.

When Offered Spring.

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

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

  • 4 Credits Stdnt Opt

  •  9985 ORIE 6510   LEC 001

    • TR Phillips Hall 307
    • Jan 24 - May 10, 2022
    • Samorodnitsky, G

  • Instruction Mode: In Person

  •  9986 ORIE 6510   DIS 201

  • Instruction Mode: In Person