Computer networks: configuration and management

linfo2142  2025-2026  Louvain-la-Neuve

Computer networks: configuration and management
5.00 credits
30.0 h + 30.0 h
Q1
Teacher(s)
Language
Main themes
  • network architectures and the role of virtual networks
  • quality of service
  • provision of multicast
  • network reliability
  • principles of network management
Learning outcomes

At the end of this learning unit, the student is able to :

Given the learning outcomes of the "Master in Computer Science and Engineering" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:
  • INFO1.1-3
  • INFO2.2-4
  • INFO5.2, INFO5.4-5
  • INFO6.1, INFO6.4, INFO6.5
Given the learning outcomes of the "Master [120] in Computer Science" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:
  • SINF1.M1
  • SINF2.2-4
  • SINF5.2, SINF5.4-5
  • SINF6.1, SINF6.4, SINF6.5
Students completing successfully this course will be able to
  • design, deploy and manage data networks;
  • explain the threats against networks and the defense strategies;
  • deploy mechanisms to ensure quality of service, security and reliability.
 
Content
  • BGP
  • Traffic control in IP networks
  • IP Mutlicast
  • MultiProtocol Label Switching
  • BGP/MPLS VPNs
  • Evolution of the Internet architecture
Teaching methods
  • Inverted clasroom
  • Network design and management project in small groups
Evaluation methods
  • Oral exam (65%)
  • Projects (20%)
  • Lab participation (5%)
  • Network debug lab (10%)
The project and labs are only organized once. They cannot be repeated except for students having a long absence approved by the president of the jury. Generative AI software such as chatGPT, GitHub copilot, ... is discouraged for the projects because they do not allow the students to correctly learn. During the evaluation the students need to document any usage of generative AI and be able to precisely explain justify any of the configuration lines they propose. A failure to do so can result in a failure of the evaluation. In addition, external sources of information must be systematically cited in compliance with bibliographic referencing standards.
Bibliography
Slides available on moodle
reference articles available on moodle
Teaching materials
  • Slides for LINGI2142
Faculty or entity


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Computer Science and Engineering

Master [120] in Computer Science