30h Th, 12h Labo., 30h Proj.
Nombre de crédits
Langue(s) de l'unité d'enseignement
Organisation et évaluation
Enseignement au premier quadrimestre, examen en janvier
Unités d'enseignement prérequises et corequises
Les unités prérequises ou corequises sont présentées au sein de chaque programme
Contenus de l'unité d'enseignement
This course aims at delivering a first vision of how data is processed and organized by large network organizations. In particular, it focuses on data and network traffic management within a data center (a facility composed of networked computers and storage used to organize, process, store and disseminate large amounts of data), wireless and mobile networks, and infrastructures for multimedia content delivery to users.
Table of Content:
Part 1: Data Center Networking (B. Donnet, L. Mathy)
Part 2: Wireless and Mobile Networks (G. Leduc)
Part 3: Multimedia Networking (G. Leduc)
Acquis d'apprentissage (objectifs d'apprentissage) de l'unité d'enseignement
Upon completing this course, students will understand modern network infrastructures (Data centers, wireless and mobile networks), as well as the way multimedia content might be delivered to end-users.
Ce cours contribue aux acquis d'apprentissage I.1, I.2, I.3, II.1, II.2, III.1, III.3, III.4, IV.1, IV.2, VI.1, VI.2, VII.1, VII.2, VII.4, VII.5, VII.6 du programme d'ingénieur civil en science des données.
Ce cours contribue aux acquis d'apprentissage I.1, I.2, II.1, II.2, III.1, III.3, III.4, IV.1, IV.2, IV.3, IV.4, VI.1, VI.2, VII.1, VII.2, VII.4, VII.5, VII.6 du programme d'ingénieur civil en informatique.
Savoirs et compétences prérequis
A good knowledge of basics of Computer Networking (INFO0010 or assimilated) is required.
Being comfortable with programming (e.g., Python) is also suitable.
Activités d'apprentissage prévues et méthodes d'enseignement
The course is organized as follows:
- Lectures (30 hours) describing in details the theoretical and practical concepts of the course
- Lab sessions (4 sessions over the semester) are supervised practical sessions. Students are expected to prepare, at home, those sessions by making sure all requirements are installed on their own computer. Labs are done individually and a short report (simple text file to fill in and/or piece of code) must be completed by the end of the lab session.
- An assignment by teams of 2 students,i.e., a larger problem to be solved.
Mode d'enseignement (présentiel, à distance, hybride)
Cours donné exclusivement en présentiel
The face-to-face lectures are complemented by lab sessions, an introduction to Python libraries (Panda, Matplotlib) and several seminars. The assignments is carried out remotely.
The course is entirely given in English.
Lectures recommandées ou obligatoires et notes de cours
Slides, labs and assignments subjects will be made available on eCampus.
Following books have been used for building the course:
- J. Kurose, K. Roth. Computer Networking: A Top-Down Approach, 8th edition, Pearson, 2020.
Modalités d'évaluation et critères
Examen(s) en session
Toutes sessions confondues
- En présentiel
Students are graded in two ways: continuous evaluation (40% of the final grade) and oral exam (60% of the final grade).
During the semester, students will be evaluated several times through practical sessions:
- Lab reports. Several labs are organized during the semester and are graded (20% of the final grade) through reporting (a simple text file to fill in during/just after the lab with student's answers).
- Assignment. One assignment is organized during the semester and is graded (20% of the final grade). Assignment will focus on Part 1 (Data Center Networking) of the course.
Presence at the labs is mandatory. Attending all labs and doing all assignements is required for attending the oral exam. In case of lab absence and/or assignement not provided, the student will receive an "Absence" grade (and automatically be postponed to the resit).
The oral exam (on the theoretical part of the course) accounts for 60% of the final grade.
In case of failure in June, students must improve their assignement for the resit (deadline 1st day of the resit session) if the grade was below 10/20. This must be done individually (note that no support will be provided, either by the TA or the lecturers, during summer). Labs cannot be redone.
If the grades of the labs are favorable to the students, the resit session is identical to the first one, with the same weighting. On the other hand, if the labs grades are detrimental to the student, it will not be taken into account in the weighting in September.
Oral exam must be redone.
The course is organized during the first term (from mid-September to end of December), on Friday afternoon. All lectures are in English.
- Benoit Donnet (email@example.com - office 1.15/B28)
- Guy Leduc (firstname.lastname@example.org - office 1.73a/B28)
- Laurent Mathy (email@example.com - office 1.15/B37)
- Sami Ben Mariem (firstname.lastname@example.org - office 1.14/B37)
Notes en ligne
Course Web Site
The course web site contains PDF of the slides, labs/assignments subjects, details about gradings, and the course agenda. It also allows students to interact with the Pedagogical Team through the Discussion forum.