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Stochastic Foundations (OPNS-483-1)
Variable Credit

Description:

This course counts toward the following majors: Operations.

This course provides doctoral students the foundations of applied probability and stochastic modeling. The first part of the course covers basic concepts in probability, such as the Borel Cantelli Lemma and the strong law of large numbers; the second part covers renewal and regenerative processes including Markov chains; and the last part covers Martingales and Brownian motion. Throughout, we will be applying some of the theoretic results to the analysis of queues. Students are expected to have some background in probability (such as IEMS 202) and stochastic processes; no measure theory background is required.

Prerequisites:
None

Corequisites:
None

 
We are currently in the Fall 2009 quarter.

 
Academic Year: 2009-2010
Quarter: Fall 2009
This course has not yet been scheduled.
 
Academic Year: 2009-2010
Quarter: Winter 2010
This course has not yet been scheduled.
 
Academic Year: 2009-2010
Quarter: Spring 2010
Sec ID Instructor Day Time Location
21/PhD Gurvich TBA TBA Jacobs (TBD)
 
Academic Year: 2009-2010
Quarter: Summer 2010
This course has not yet been scheduled.


* indicates Sections where First Session is Mandatory.
+ indicates Sections with Second Year Preference.

Please send questions to kellogg-registrar@kellogg.northwestern.edu .

 
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