Academics

Graduate Program

Home > Academics > Graduate

Academics

Graduate Program

Graduate Program

Queueing theory with applications

Subject No.
Research
Credit
Classification
EE658
Computer, Communication
3
72

The course briefly deals with fundamental stochastic processes such as Poisson, renewal, discrete-time Markov chain, continuous-time Markov chain, IBP, IPP, MMBP, MMPP, self-similar process. The course then covers various queueing systems and their applications such as Markovian BD queues, advanced Markovian models, M/G/1 priority queue, M/G/1 retrial queue, and M/G/1 queue with vacation.

Recommend

Computer, Communication, Signal
EE528

In this course, based on the fundamental concepts and knowledge addressed in EE210, we discuss advanced topics in probability and random processes for applications in engineering. Topics include algebra of sets, limit events, random vectors, convergence, correlation functions, independent increment processes, and compound processes. (Prerequisite: {EE210} or {Approval of the Instructor})