3.00 credits
30.0 h
Q2
Teacher(s)
Deville Yves; Geubelle Bernard;
Language
English
> French-friendly
> French-friendly
Main themes
The objective of this seminar is to enable students to gain a clearer view of their future professional career. To achieve this, professionals will present industrial applications related to new technology, share experiences, present difficulties and discuss their choices.
The technical themes will vary from year to year.
The technical themes will vary from year to year.
Learning outcomes
At the end of this learning unit, the student is able to : | |
1 |
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:
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Content
The objective of this industrial seminar is to give a positive view of the future professional carrier of the students. Different professionals will present real applications and experiences in new technological topics, their contributions and issues.
Teaching methods
This seminar is organized as a set of talks given by professional in different domains of computer science.
Evaluation methods
- In this seminar, student participation is essential and required.
- Failure to attend two or three seminars will require the student to complete a personal assignment.
- Failure to attend more than three seminars will result in failure, which cannot be redone at the August session.
- For two or three of the seminars attended, students will be required to produce a summary paper, which will be assessed. This assessment could take the form of a peer assessment.
- The final grade will be made up of the grades of the different works done.
Online resources
Faculty or entity
INFO
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
Master [120] in Mathematical Engineering
Master [120] in Data Science Engineering
Master [120] in Data Science: Information Technology