Course label : | Seminars |
---|---|
Teaching departement : | EEA / Electrotechnics - Electronics - Control Systems |
Teaching manager : | Mister PIERRE-ANTOINE THOUVENIN / Mister PIERRE CHAINAIS |
Education language : | |
Potential ects : | 0 |
Results grid : | |
Code and label (hp) : | MR_DS_S4_SEM - Seminars |
Education team
Teachers : Mister PIERRE-ANTOINE THOUVENIN / Mister PIERRE CHAINAIS
External contributors (business, research, secondary education): various temporary teachers
Summary
Each seminar will focus on a specific topic in data science, presented by a researcher or industry expert.
Educational goals
After successfully taking this course, a student will have a basic knowledge on various topics in data science (current research topic, a team’s research theme, some application of ML/DS in the industry,... )
Sustainable development goals
Knowledge control procedures
Continuous Assessment
Comments: A 3-5 pages presenting a seminar with a personal analysis and a bibliography on the subject
Passing grade 10/20
Online resources
Pedagogy
24 hours, 12 sessions
Sequencing / learning methods
Number of hours - Lectures : | 0 |
---|---|
Number of hours - Tutorial : | 24 |
Number of hours - Practical work : | 0 |
Number of hours - Seminar : | 0 |
Number of hours - Half-group seminar : | 0 |
Number of student hours in TEA (Autonomous learning) : | 0 |
Number of student hours in TNE (Non-supervised activities) : | 0 |
Number of hours in CB (Fixed exams) : | 0 |
Number of student hours in PER (Personal work) : | 0 |
Number of hours - Projects : | 0 |
Prerequisites
Basic knowledge in maths, computer science and data science.