ORIE 6510

ORIE 6510

Course information provided by the Courses of Study 2017-2018.

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.

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. Combined with: ORIE 6510

  • 4 Credits Stdnt Opt

  • 10583 ORIE 6510   LEC 001

  • 10584 ORIE 6510   DIS 201

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 6510

  • 4 Credits Stdnt Opt

  • 18723 ORIE 6510   LEC 031

    • MWF Cornell Tech
    • Samorodnitsky, G

  • Instruction Mode: Distance Learning - WWW
    Taught in NYC. Enrollment limited to: Cornell Tech students. Offered via distance learning, streaming from Ithaca.

  • 18724 ORIE 6510   DIS 231

    • W Cornell Tech
    • Samorodnitsky, G

  • Instruction Mode: Distance Learning - WWW
    Taught in NYC. Enrollment limited to: Cornell Tech students. Offered via distance learning, streaming from Ithaca.