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CS 511 — Computer Networks
(dt. Rechnernetze)

Level, degree of commitment Advanced module, compulsory elective module
Forms of teaching and learning,
workload
Lecture (4 SWS), recitation class (2 SWS),
270 hours (90 h attendance, 180 h private study)
Credit points,
formal requirements
9 CP
Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks.
Examination type: Oral examination (individual examination) or written examination
Language,
Grading
German/English,
The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Computer Science.
Duration,
frequency
One semester,
In der Regel jedes zweite Wintersemester
Person in charge of the module's outline Prof. Dr. Bernd Freisleben

Contents

  • application layer
  • transport layer
  • network layer
  • MAC layer
  • Physical layer
  • network security
  • multimedia networks
  • network management

Qualification Goals

Students are able to

  • understand the structure and operation of computer networks,
  • analyze and understand the behavior of networks (including the Internet) in broad terms, especially with respect to problems and functionality of network software
  • to develop own network modules after additional familiarization with the respective network environments.
  • to apply scientific working methods when independently identifying, formulating and solving problems,
  • speak freely about scientific content, both in front of an audience and in a discussion.

Prerequisites

None. The competences taught in the following modules are recommended: Object-oriented Programming, either Algorithms and Data Structures or Practical Informatics II: Data Structures and Algorithms for Pre-Service-Teachers, System Software and Computer Communication.


Applicability

Module imported from B.Sc. Computer Science.

It can be attended at FB12 in study program(s)

  • B.Sc. Data Science
  • B.Sc. Computer Science
  • M.Sc. Data Science
  • M.Sc. Computer Science
  • M.Sc. Mathematics
  • M.Sc. Business Informatics
  • M.Sc. Business Mathematics
  • LAaG Computer Science

When studying M.Sc. Data Science, this module can be attended in the study area Free Compulsory Elective Modules.

The module is assigned to Computer Science. Further information on eligibility can be found in the description of the study area.


Recommended Reading

  • James Kurose, Keith Ross: “Computer Networking”, Pearson 2020.
  • Andrew S. Tanenbaum, D. Wetherall: “Computer Networks”, Pearson 2011.
  • Larry L. Peterson & Bruce S. Davie: “Computer Networks”, Morgan Kaufmann 2021.



Please note:

This page describes a module according to the latest valid module guide in Winter semester 2023/24. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.