Descriptif
http://datascience-x-master-paris-saclay.fr/le-master/structure-des-enseignements/
cours obligatoire du master
cours à l'école Polytechnique
Students will put their basic machine learning and data analysis knowledge to test for solving practical data science problems in scientific or industrial applications. Typically, we will treat two/three concrete problems coming from scientific or industrial applications (e.g., brain imaging, astrophysics, biology/chemistry, ad placement, insurance pricing). We describe and formalize the motivating problem, discuss the possible solutions, choose one, and assist the students in solving the problem. We will provide data, advise students on their choice of tools, and set up a challenge environment where students can submit their solutions. Evaluation will be based on homework assignments and performance in the challenges.
cours obligatoire du master
cours à l'école Polytechnique
Students will put their basic machine learning and data analysis knowledge to test for solving practical data science problems in scientific or industrial applications. Typically, we will treat two/three concrete problems coming from scientific or industrial applications (e.g., brain imaging, astrophysics, biology/chemistry, ad placement, insurance pricing). We describe and formalize the motivating problem, discuss the possible solutions, choose one, and assist the students in solving the problem. We will provide data, advise students on their choice of tools, and set up a challenge environment where students can submit their solutions. Evaluation will be based on homework assignments and performance in the challenges.
40 heures en présentiel (21 blocs ou créneaux)
Diplôme(s) concerné(s)
- Echange international non diplomant
- Data Science
- Programme de mobilité des établissements français partenaires
- Diplôme d'ingénieur
- Data & Artificial Intelligence
Parcours de rattachement
Format des notes
Numérique sur 20Littérale/grade européenPour les étudiants du diplôme Data Science
L'UE est acquise si Note finale >= 10- Crédits ECTS acquis : 3 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme Programme de mobilité des établissements français partenaires
L'UE est acquise si Note finale >= 10- Crédits ECTS acquis : 3 ECTS
Pour les étudiants du diplôme Data & Artificial Intelligence
L'UE est acquise si Note finale >= 10- Crédits ECTS acquis : 3 ECTS
Pour les étudiants du diplôme Diplôme d'ingénieur
Pour les étudiants du diplôme Echange international non diplomant
Programme détaillé