Duration
30h Th, 12h Labo., 30h Proj.
Number of credits
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
This course aims at deepening the knowledge and understanding of networks. It explains advanced network architectures, routing protocols, and mechanisms used to improve the quality of service of a network and better engineer its traffic.
Table of Content:
Part 1: Advanced Routing and Forwarding
- Chap. 1: Internet Architecture (B. Donnet)
- Chap. 2: Advanced Interdomain Routing (B. Donnet)
- Chap. 3: Intradomain Multicast Routing (G. Leduc)
- Chap. 4: MutiProtocol Label Switching (MPLS) (B. Donnet)
- Chap. 5: MPLS Virtual Private Networks (G. Leduc)
- Quality of Network Service
- Scheduling, Shaping/Policing, Packet Dropping
- QoS Guarantees and Resource Reservation (RSVP)
- Standard QoS Architectures
- Chap. 1: Generalities
- Chap. 2: Load Balancing
- Chap. 3: Multihoming
- Chap. 4: Interdomain TE with BGP
Learning outcomes of the learning unit
At the end of the course students will understand in depth advanced routing and forwarding techniques (from BGP to multicast and MPLS), how networks can provide some quality of service, and how networks traffic can be engineered.
Practically, students will be able to configure routing in large networks. Network performance with QoS will be studied through network simulation. Students will also learn how to configure a router to provide QoS.
The assignments bring out self-learning and team work capabilities, and help improve the writing skills of the students.
Teaching, and all support material, in English allow students to improve their knowledge and skills in this langage.
This course contributes to the learning outcomes I.1, I.2, II.1, II.2, III.1, III.2, IV.1, IV.2, IV.3, IV.4, VI.1, VI.2, VII.1, VII.2, VII.4, VII.5, VII.6 of the MSc in computer science and engineering.
Prerequisite knowledge and skills
A good knowledge of basics of Computer Networking (INFO0010 or equivalent) is required.
Planned learning activities and teaching methods
The course is organized as follows
- Lectures describing in details the theoretical and practical aspects of the course
- Lab sessions to be done individually. Each lab ends with a small report to be submitted (a simple text file to fill in with answers).
- Assignments in teams of 2 students.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Additional information:
The face-to-face lectures are complemented by lab sessions and assignments (carried out remotely).
The course is entirely given in English.
Course materials and recommended or required readings
Platform(s) used for course materials:
- eCampus
- Microsoft Teams
Further information:
Slides, labs and assignments subjects are available on the course web page.
The following books have been used for building the course:
- James F. Kurose and Keith W. Ross. Computer Networking - A Top-Down Approach (8th Edition), Pearson, 2020.
- N. Wang, K. Hon Ho, G. Pavlou, M. Howarth. An Overview of Routing Optimization for Internet Traffic Engineering. In IEEE Communications Surveys & Tutorials. 10(1), pg. 36-56. April 2008.
- J. W. Stewart. BGP4: Inter-Domain Routing in the Internet. Addison-Wesley, 1998.
Exam(s) in session
Any session
- In-person
oral exam
Further information:
Students are graded in two ways: continuous evaluation (40% of the final grade) and oral exam (50% of the final grade).
Continuous Evaluation
The evaluation is twofold:
- Labs are evaluated (a simple text file to fill in during/right after the lab with students' answers). They account for 20% of the final grade. 5 labs are scheduled, each of them accounting for 4% of the final grade. Attending remotely to the labs is prohibited
- Assignments account for 20% of the final grade. Assignments must be done by Teams of 2 students.
Using any generative AI (e.g., ChatGPT) for assignments and labs is prohibited in this course and may lead to be considered as a fraud.
Oral Exam
It is about the theoretical part of the course. Any student randomly selects one question and prepares its answer on the board. It counts for 60% of the final grade. Note that if the student has a grade below or equal to 7/20 at the oral exam, labs and assignment will be taken into account (i.e., the oral exam grade will be the course grade)
Resit
In case of failure in June: All grades strictly below 10/20 must be presented during summer (labs and/or assignment and/or oral exam). Labs and assignment must be submitted for the 1st day of the resit, on the submission platform. Presenting all grades below 10/20 in the resit is mandatory (otherwise, an absence grade is assigned)
Note that computing the grade follows the same rule as in January.
Work placement(s)
Organisational remarks and main changes to the course
The course is organized during the second term (from February to mid-May), on Wednesday morning. All lectures are in English.
Contacts
Coordinators/Lecturers:
- B. Donnet (office 1.87b/B28)
- G. Leduc (guy.leduc@uliege.be, office 1.73a/B28)
- Florian Dekinder (office 1.75b/B28)
Association of one or more MOOCs
Items online
Course Web Site
The course web site contains PDF of the slides, labs/assignments subjects, details about grading, and the course agenda. It also allows students to interact with the Pedagogical Team through the discussion forum