Data Science Seminars and Challenge - WMM9AM21

Number of hours
- Lectures -
- Projects -
- Tutorials 36.0
- Internship -
- Laboratory works -
- Written tests -
ECTS
ECTS 6.0

Goal(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.

Responsible(s)

Sana LOUHICHI

Content(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.

Prerequisites

Linear algebra, probability theory, statistics.

Test

At the end of the seminar series, some oral exam is organized. One of the topic presented during the seminars is randomly assigned to each student a few days in advance. The oral exam consists in a 25 min summarized presentation of the scientific issues that were addressed, and a 15 min session of discussion and questions. A second different topic is chosen by the student, and he.she must write a report on that topic, based on the seminar and associated articles.