Communication networks

linfo2147  2024-2025  Louvain-la-Neuve

Communication networks
5.00 credits
30.0 h + 15.0 h
Q1
Teacher(s)
Language
Main themes
  • Introduction, media access control, layered models,
  • Internet Protocol, IP routing, introduction to IPv6,
  • DNS, e-mail, common protocols,
  • Multimedia networking (streaming, VoIP, DVB),
  • Network security and advanced topics.
Learning outcomes

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

1 With respect to the AA referrng system defined for the Master in Electrical Engineering, the course contributes to the development mastery and assessment of the following skills :
  • AA1.1, AA1.2, AA1.3
  • AA2.1, AA2.3, AA2.4
  • AA5.1, AA5.2, AA5.3, AA5.5.
At the end of this course, the students will be able to
  • understand the architecture of communication networks,
  • identify the routing strategies which are best suited to a particular network topology,
  • understand resource management strategies allowing to guarantee a quality of service, particularly for multimedia communications,
  • design architectures allowing secure communications.
Transverse learning outcomes :
  • use a network simulation tool (Netkit),
  • configure network parameters of a Linux based system using low-level commands,
  • configure a router using a (Cisco) IOS-like syntax
 
Content
  • Introduction to communication networks,
  • Media Access Control, Layered models,
  • Internet Protocol, IP fragmentation,
  • UDP, TCP, ICMP, traceroute & PMTU discovery,
  • Static IP routing, dynamic routing (algorithms and protocols),
  •  DNS, e-mail (SMTP, POP3, IMAP4),
  •  common protocols (HTTP, FTP, etc.),
  • streaming protocols,
  •  NAT, introduction to IPv6,
  • wireless network protocols (3G/4G/5G, Wifi, BlueTooth, BLE),
  • wearable devices, IoT & smart sensors (Zigbee, NFC, Lora, Sigfox),
  • introduction to network security,.
Teaching methods
- Traditional lectures,
- Exercices,
- Labs in computer room allowing the student to use the theoretical concepts seen during the lecture on a simulated network
Evaluation methods
Written exam (80%)
Homework (20%)
The grade obtained during the second session replaces all the previous grades.
Other information
Students will program in python for some labs. Basic knowledge of the programming language is a plus.
Bibliography
- Notes de cours,
- James Kurose and Keith Ross, «Computer Networking, A Top-Down Approach Featuring the Internet».
Faculty or entity


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

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Environmental Bioengineering

Master [120] in Electrical Engineering

Master [120] in Chemistry and Bioindustries

Master [120] in Electro-mechanical Engineering

Master [120] in Agricultural Bioengineering