EP2210 Performance Analysis of Communication Networks 7.5 credits

The course focuses on modelling and analyzing communication networks, network protocols and applications, using mathematical tools. It is designed for advanced undergraduates and graduate students.
Course offering missing
Course offering missing for current semester as well as for previous and coming semestersInformation for research students about course offerings
Graduate students should register for EP3210 Advanced Performance Analysis of Communication Networks 9.0 credits, that shares parts of EP2210.
Content and learning outcomes
Course contents
The course consists of 24 hours of lectures, home assignments requiring roughly 20 and project work requiring 30 hours of work by each students.
The course addresses performance issues in current and future Internet architectures:
- Multi-access communication: CSMA/CD - reservation techniques (token and polling) - packet radio networks (WLANs)
- Routing in data networks: shortest path routing - optimal routing and topology design
- Flow control (TCP)
- Quality of service (QoS) in IP networks: requirements for multimedia transmission - network support: scheduling, shaping, forward error correction
- Current research topics on network performance
Intended learning outcomes
By the end of the course students will be able to construct tractable models of complex networking problems and attack performance problems with analytical methods or simulation. These abilities are necessary for everyone working on technical fields - to understand the capabilities of specific technologies and the success or failure of new trends.
Course disposition
No information inserted
Literature and preparations
Specific prerequisites
For single course students: 120 credits and documented proficiency in English B or equivalent
Recommended prerequisites
EP2210 Queuing theory and teletraffic systems (or equivalent knowledge);
EP1100 Datacommunication and Computer Networks (or equivalent knowledge)
Equipment
No information inserted
Literature
The course will be based on the book Data Networks by Dimitri Bertsekas and Robert Gallager, Prentice Hall, ISBN 0-13-200916-1 and on selected papers.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
A, B, C, D, E, FX, F
Examination
- TEN1 - Examination, 4.5 credits, grading scale: A, B, C, D, E, FX, F
- ÖVN1 - Exercise, 3.0 credits, grading scale: P, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Other requirements for final grade
Assigned paper (TEN1, 3 credits) Home assignments (OVN, 2 credits).
Opportunity to complete the requirements via supplementary examination
No information inserted
Opportunity to raise an approved grade via renewed examination
No information inserted
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course web
Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.
Course web EP2210Offered by
Main field of study
Computer Science and Engineering, Information and Communication Technology
Education cycle
Second cycle
Add-on studies
No information inserted
Contact
Viktoria Fodor