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: Alioum Amadou
- Enseignant: Azzi Rabia
- Enseignant: Billot Laurent
- Enseignant: Cossin Sebastien
- Enseignant: Diallo Gayo
- Enseignant: Genuer Robin
- Enseignant: Hejblum Boris
- Enseignant: Lamarque Florence
- Enseignant: Leffondre Karen
- Enseignant: Manceau Delphine
- Enseignant: Martinez Camila
- Enseignant: Montagni Ilaria
- Enseignant: Mougin Fleur
- Enseignant: Pageze Joanne
- Enseignant: Pariente Antoine
- Enseignant: Prevot Carine
- Enseignant: Richert Laura
- Enseignant: Rouanet Anais
- Enseignant: Thiao Layel Bruno
- Enseignant: Thiebaut Rodolphe
- Enseignant: Thiessard Frantz
- Enseignant: Tzourio Christophe
- Enseignant: Wittkop Linda