The objective of this UP is to put into perspective the application of fundamental AI techniques in specialized sub-domains, and finally the integration of these different technologies to build intelligent single or multi-agent systems.
At the end of this teaching unit, students will have an overview of the challenges and societal impacts of the use of AI technologies in different application areas related to, for example, health, environment, industry, education
The teaching methods consist of lectures, interventions by professionals in the field (e.g. ORANGE LABS, RENAULT, ENGIE, QWANT), studies of prospective reports from various government, industrial or associative agencies (e.g. France IA report, Villani report, OPECST report).
| On completion of the unit, the student will be capable of: | Classification level | Priority |
|---|
| Percentage ratio of individual assessment | Percentage ratio of group assessment | ||||
|---|---|---|---|---|---|
| Written exam: | % | Project submission: | % | ||
| Individual oral exam: | % | Group presentation: | % | ||
| Individual presentation: | % | Group practical exercise: | % | ||
| Individual practical exercise: | % | Group report: | % | ||
| Individual report: | % | ||||
| Other(s): 100 % | |||||
| Type of teaching activity | Content, sequencing and organisation |
|---|---|
| Seminar | Grading is PASS/FAIL, based on seminar attendance |