BASICS University of Bordeaux
This course will provide the students with the necessary basic toolsand skills for all the other courses of the Master in Public HealthData Science program. It will ensure all students reach a similarunderstanding across the three core domains (epidemiology, statisticsand medical informatics) and will be able to follow the other teachingunit of the program.
- General statistical theory concepts - Analysis / Getting Cleaning Data Model Statistical Inference - Fundamentals of epidemiology
Continuous assessment - Group presentations (40%) - Written exam (3h – 60%) - Rules and protocol for failures/re-sits is clearly described
- Biostatistics: core principles such as experimental design,probabilistic modelling and maximum likelihood estimation will becovered. - Medical Informatics: database design & management, notion of objectprogramming as well as Parallel programming, Hadoop & cloud computing,reproducible science will be covered. - Epidemiology: general tools and ideas, biais, causality principles,Data Legislation as well as communicable & reproducible data sciencewill be covered.
Lectures, practicals, readings, inversed classes and presentations
Online Course Requirement
Part of the Public Health Data Science Master programDuration: 4 weeks (76H)Language of instruction: EnglishMode of delivery: Blended-learning (76 contact hours)
Site for Inquiry
Please inquire about the courses at the address below.
Contact person: Boris HEJBLUMboris.email@example.comCamila MARTINEZdph@u-bordeaux.fr