Number of hours
- Lectures 1.5
- Projects -
- Tutorials -
- Internship -
- Laboratory works 16.5
- Written tests -
ECTS
ECTS 2.0
Goal(s)
The objective of this course is to learn artificial intelligence by practice. Students will work in teams. Each team will be in charge of developing an application involving some or several artificial intelligence techniques (in the large sense, not necessarily supervised learning).
The topic of this application, as well as the methods and datasets used in the project, are chosen by the team students themselves. The course sessions are only dedicated to project follow-up and management by the teaching staff.
Responsible(s)
Sylvain BOUVERET
Content(s)
One introduction lecture and 11 project management sessions.
PrerequisitesBases of computer development and strong math foundations.
Test
1 deliverable and a presentation.
No retake exam.
Session 1 : Un livrable + une soutenance.
Le cours n'est pas rattrapable.
Calendar
The course exists in the following branches:
- Curriculum - Information Systems Engineering - Semester 9
Additional Information
Course ID : 5MMPIA
Course language(s): 
You can find this course among all other courses.