Queuing Theory

from Markov Chains to Multi-Server Systems

Situations where resources are shared among users appear in a wide variety of domains, from lines at stores and toll booths to queues in telecommunication networks. The management of these shared resources can have direct consequences on users, whether it be waiting times or blocking probabilities. 

In this course, you'll learn how to describe a queuing system statistically, how to model the random evolution of queue lengths over time and calculate key performance indicators, such as an average delay or a loss probability. 

This course is aimed at engineers, students and teachers interested in network planning. 

Practical coursework will be carried out using ipython notebooks on a Jupyterhub server which you will be given access to.

Student testimonial
"Great MOOC ! The videos, which are relatively short, provide a good recap on Markov chains and how they apply to queues. The quizzes work well to check if you've understood." Loïc, beta-tester

"The best MOOC on edX! I'm finishing week 2 and I've never seen that much care put in a course lab! And I love these little gotchas you put into quizzes here and there! Thank you!" rka444, learner from Session 1, February - March 2018

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Rating 4.2 based on 4 ratings
Length 5 weeks
Effort 3 - 4 hours per week
Starts Oct 15 (15 weeks ago)
Cost $49
From IMT, IMTx via edX
Instructors Sandrine Vaton, Isabel Amigo, Hind Castel, Patrick Maillé, Laurent Decreusefond, Michel Marot, Thierry Chonavel
Free Limited Content
Language English
Subjects Programming Data Science Mathematics
Tags Computer Science Data Analysis & Statistics Math

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What people are saying

We analyzed reviews for this course to surface learners' thoughts about it

it was clear in one review

It was clear and well organised.

early 2018 run in one review

This opinion is based on the early 2018 run of the course.

pass too quickly in one review

Better if you have some previous knowledge in statistics and stochastic processes because it pass too quickly over some related mathematical concepts.

related mathematical concepts in one review

better if in one review

markov chains in one review

Markov chains, a complex subject, is explained so well that I learn a great deal, more than I did in university.

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edX

&

IMT

Rating 4.2 based on 4 ratings
Length 5 weeks
Effort 3 - 4 hours per week
Starts Oct 15 (15 weeks ago)
Cost $49
From IMT, IMTx via edX
Instructors Sandrine Vaton, Isabel Amigo, Hind Castel, Patrick Maillé, Laurent Decreusefond, Michel Marot, Thierry Chonavel
Free Limited Content
Language English
Subjects Programming Data Science Mathematics
Tags Computer Science Data Analysis & Statistics Math

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