Course information

EP2210 Performance Analysis of Communication Networks 7.5 credits

Prestandaanalys för kommunikationsnätverk

About course

Course information

Course development and history

Administrate

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.

Offering and execution

Course offering missing for current semester as well as for previous and coming semesters

Course information

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

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

Viktoria Fodor

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 EP2210

Offered by

EECS/Computer Science

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

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.