ORIE 6510

ORIE 6510

Course information provided by the Courses of Study 2020-2021.

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.

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 10303 ORIE 6510   LEC 001

    • MW Online Meeting
    • Feb 8 - May 14, 2021
    • MINCA, A

  • Instruction Mode: Online

  • 10304 ORIE 6510   DIS 201

    • R Olin Hall 255
    • Feb 8 - May 14, 2021
    • MINCA, A

  • Instruction Mode: In Person
    Enrollment limited to students who are able to attend in-person classes in the Ithaca area.

  • 20005 ORIE 6510   DIS 202

    • R Online Meeting
    • Feb 8 - May 14, 2021
    • MINCA, A

  • Instruction Mode: Online
    Intended for students unable to attend in-person classes in Ithaca.
    For instructions on requesting permission, send brief email to Heidi Russell (hjr27).