Epidemiology is foundational to medicine and public health. This course starts with the key principles of classical epidemiology, progressing through computational modeling techniques, and concluding with the digital approaches of today. Students will also ...
This course will give a unified presentation of modern methods for causal inference. We focus on concepts, and we will present examples and ideas from various scientific disciplines, including medicine, computer science, engineering, economics and epidemio ...
La médecine personnalisée, préventive, prédictive et participative bouleverse les connaissances médicales établies, ainsi que les configurations sociales et politiques de la médecine. Ce cours analyse ces processus à travers une approche interdisciplinaire ...
This course covers recent methodology for causal inference in settings with time-varying exposures (longitudinal data) and causally connected units (interference). We will consider theory for identification and estimation of effects, illustrated by real-li ...
The goal of this course is to instruct the student how fundamental scientific knowledge, acquired through the study of fundamental disciplines, including biochemistry, genetics, pharmacology, physiology, genomics, cell and molecular biology can be applied ...
Ce cours a pour objectif de mettre en évidence les phénomènes de la globalisation à l'époque moderne à partir du XVIe siècle et jusqu'à la fin du XVIIIe siècle. Il s'agit de comprendre et analyser les rapports entre explorations géographiques, science, com ...