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