EE6150: Stochastic Modeling and the theory of Queues

January – May 2020

Instructor: Krishna Jagannathan, Associate Professor

TAs: SUSHMITHA SHREE S (EE18D407), BOYAPATI PRAFULLA CHANDRA (EE16D402)

Slot: F

 

This is a PG level course on discrete stochastic processes, which will also cover queuing examples and applications.

 

Prerequisites: The course will assume a solid foundation in probability theory. Students who have taken EE 5110 should be fine.

 

Course Contents:

 

·       Convergence of sequences of random variables, the laws of large numbers

·       Poisson processes

·       Renewal processes and renewal reward theory

·       Markov processes in discrete and continuous time (finite/countable state space)

·       Semi-Markov processes

·       Queueing examples and applications