BIO-449: Understanding statistics and experimental designThis course is neither an introduction to the mathematics of statistics nor an introduction to a statistics program such as R. The aim of the course is to understand statistics from its experimental design and to avoid common pitfalls of statistical reason ...
BIO-503: Lab immersion IIIEngaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis. ...
BIO-501: Lab immersion IEngaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis. ...
BIO-502: Lab immersion IIEngaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis. ...
EE-209: Elements of statistics for data scienceThéorie de l'estimation: estimateurs du maximum de vraisemblance, information de Fisher, inégalité de Cramer-Rao, intervalles de confiance.
Tests d'hypothèses: cadre de Neyman-Pearson: test du rapport de vraisemblance, tests paramétriques et non-parmétriq ...
BIO-480: Neuroscience: from molecular mechanisms to diseaseThe goal of the course is to guide students through the essential aspects of molecular neuroscience and neurodegenerative diseases. The student will gain the ability to dissect the molecular basis of disease in the nervous system in order to begin to under ...
CS-401: Applied data analysisThis course teaches the basic techniques, methodologies, and practical skills required to draw meaningful insights from a variety of data, with the help of the most acclaimed software tools in the data science world (pandas, scikit-learn, Spark, etc.) ...
ENV-471: Environmental economicsIntroduction to economic analysis applied to environmental issues: all the necessary basic concepts, including cost-benefit analysis, for environmental policy making and its instruments (examples: climate, waste, mobility). Introduction to financial calcul ...
CS-411: Digital educationThis course addresses the relationship between specific technological features and the learners' cognitive processes. It also covers the methods and results of empirical studies: do student actually learn due to technologies? In fall 2025, P. Dillenbourg w ...
BIO-471: Cancer biology IThe course covers in detail molecular mechanisms of cancer development with emphasis on cell cycle control, genome stability, oncogenes, tumor suppressor genes, signaling pathways involved in cancer, genomic cancer analysis and rational cancer therapies. ...
CH-317: Drug discovery and developmentThis course discusses the molecular basis of diseases and how drugs work. Concepts and processes employed in today's drug discovery and development are covered. The first part of the course focuses on small molecule drugs and the second one on biotherapeut ...
CH-435: Asymmetric catalysis for fine chemicals synthesisThe asymmetric synthesis of fine chemicals is a research topic of growing importance for the synthesis of modern materials, drugs and agrochemicals. In this lecture, the concepts of asymmetric catalysis for fine chemical synthesis are introduced. ...
BIO-494: Scientific project design in drug discoveryThe goal of this course, which on a learn-by-doins to instruct the student how fundamental scientific knowledge can be applied for drug discovery and development. We will demonstrate these principles with examples, including virtual screening, in vitro scr ...
BIO-455: Introduction to law and ethicsThe aim of this course is to introduce students to the basic legal and ethical concepts relevant to research in the life sciences and its translational application, and to provide them with the essential tools to identify legal and ethical issues in their ...
BIO-684: Hot Topics in Cancer Research(1) To expose PhD students to cutting-edge research in the field of Cancer Research through attendance of lectures given by world-leading distinguished scientists in the field. ...
HUM-388: Personalized health: biomedical & social challengeLa 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 ...
MATH-474: Statistics for genomic data analysisAfter a short introduction to basic molecular biology and genomic technologies, this course covers the most useful statistical concepts and methods for the analysis of genomic data. ...
