SMU / School of Engineering / Electrical Engineering Dept / Tom Chen home
| Description: | This is an introductory graduate-level course on applied probability, stochastic processes, and basic queueing theory with applications to the engineering of telecommunications networks. It applies probabilistic modeling and evaluation methods to study the behavior of traffic, switching, and network protocols. Specific topics include: basic queueing theory, traffic models, multiplexing, scheduling and priorities, switch models, routing, congestion notification, traffic control, closed-loop rate control, and connection admission control. While knowledge of data communications and computer networks would be helpful, it is not absolutely necessary. A previous course in probability and random processes would be helpful, particularly for the first part of this course. |
| Textboook: | None required, but this reference is recommended: Kumar, Manjunath, Kuri, Communication Networking: an Analytical Approach (Morgan Kaufmann, 2004). Class notes will be distributed in class and available at this website (in PDF). |
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SMU / School of Engineering / Electrical Engineering Dept / Tom Chen home