Volumes horaires
- CM -
- Projet -
- TD 36.0
- Stage -
- TP -
- DS -
Crédits ECTS
Crédits ECTS 6.0
Objectif(s)
Our master program now includes a series of 6 or 7 seminars given by active researchers in the field of data processing methods and analysis.
These seminars are intended to give students some insights on modern problems and solutions developed in a data science framework, with applications in a variety of fields.
Sana LOUHICHI
Contenu(s)
In order to make these seminars a most valuable experience for all students, a scientific paper dealing with the topic of the seminar will be selected by the speaker and dispatched to all students about 2 weeks before the seminar. Students are expected to read and study this paper, and to prepare questions, before attending the seminar. Presence at the seminars is compulsory for master students.
The seminars will be on Thursdays around 3:30PM (no sooner).
Follow the announcements on https://data-institute.univ-grenoble-alpes.fr/education/data-science-seminar-series/ (regularly updated)
This module is common with the M2 programmes MSIAM Data Science, MoSIG Data Science and SIGMA.
PrérequisLinear algebra, probability theory, statistics.
- MCC présentiel
Oral presentation and report.
- MCC présentiel
***MCC distanciel
idem but the oral presentation is online.
L'examen existe uniquement en anglais
Le cours est programmé dans ces filières :
- Cursus ingénieur - Master Math. et Applications - Semestre 9 (ce cours est donné uniquement en anglais )
Code de l'enseignement : WMM9AM21
Langue(s) d'enseignement :
Vous pouvez retrouver ce cours dans la liste de tous les cours.