Introduction
This T.U. will provide the necessary basic tools for all the T.U.s of the program across the three core domains. In Biostatistics, core principles such as experimental design, probabilistic modeling and maximum likelihood estimation will be covered. In Medical Informatics, database design & management, notion of object programming as well as Parallel programming, Hadoop & cloud computing will be covered. Finally, general tools and ideas in Epidemiology, causality principles, reproducible science. Data Legislation as well as communicable & reproducible data science will be covered.
Coordinator: Boris Hejblum
Type of assessment: continuous assessment plus written exam. A catch-up session is envisaged during the first semester for those who fail the first session.
- Enseignant: Amadou Alioum
- Enseignant: Rabia Azzi
- Enseignant: Laurent Billot
- Enseignant: Sebastien Cossin
- Enseignant: Gayo Diallo
- Enseignant: Robin Genuer
- Enseignant: Boris Hejblum
- Enseignant: Florence Lamarque
- Enseignant: Karen Leffondre
- Enseignant: Delphine Manceau
- Enseignant: Camila Martinez
- Enseignant: Ilaria Montagni
- Enseignant: Fleur Mougin
- Enseignant: Joanne Pageze
- Enseignant: Antoine Pariente
- Enseignant: Carine Prevot
- Enseignant: Laura Richert
- Enseignant: Anais Rouanet
- Enseignant: Bruno Thiao Layel
- Enseignant: Rodolphe Thiebaut
- Enseignant: Frantz Thiessard
- Enseignant: Christophe Tzourio
- Enseignant: Linda Wittkop