Industrial seminar in computer science

linfo2399  2021-2022  Louvain-la-Neuve

Industrial seminar in computer science
3.00 credits
30.0 h
Q2
Teacher(s)
Deville Yves; Geubelle Bernard;
Language
English
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.
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:
  • INFO6
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:
  • SINF6
Student completing successfully this course will be able to
  • explain the challenges and difficulties of implementing IT projects in the professional world;
  • argue about the differences between the academic and industrial visions of computing;
  • list different types of careers in the IT world;
  • position themselves in relation to the professional IT world;
  • make choices to manage his future career.
 
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, the participation of the students is essential and mandatory.  The form of the evaluation will vary and may have the form of an individual work at the end of the seminar, a presentation or a short written exam.
Faculty or entity
INFO


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

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

Master [120] in Computer Science and Engineering

Master [120] in Data Science: Information Technology

Master [120] in Computer Science

Master [120] in Mathematical Engineering