MSE-213: Probability and statistics for materials scienceThe course establishes the concepts of statistical analysis, probability theory, and data analysis. This includes standard statistical tests, correlation analysis and experimental design. It introduces computational statistical methods to analyse large dat ...
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.) ...
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 ...
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 ...
HUM-491: Writing and Thinking with Generative AIs IComment les IA génératives transforment nos manières de lire, d'écrire et de penser ? Pour répondre à cette question, il faut analyser l'écriture assistée par IA génératives à l'aide des concepts et des méthodes de la linguistique et de la génétique des te ...
MGT-418: Convex optimizationThis course introduces the theory and application of modern convex optimization from an engineering perspective. ...
HUM-493: Writing and Thinking with Generative AIs IIComment les IA génératives transforment nos manières de lire, d'écrire et de penser ? Pour répondre à cette question, il faut analyser l'écriture assistée par IA génératives à l'aide des concepts et des méthodes de la linguistique et de la génétique des te ...
PHYS-754: Lecture series on scientific machine learningThis lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way. We will learn on examples how this is influencing the v ...
HUM-238: Philosophy of scienceCe cours propose d'identifier et comprendre les débats et problèmes centraux en philosophie des sciences, p.ex. le débat concernant les différents modèles de l'explication scientifique. Evaluer et comparer les arguments cruciaux dans ces débats. Présenter ...
AR-599: Master project in ArchitectureLe Projet de Master, d'une durée d'un semestre, est un projet d'architecture mené par l'étudiant·e de manière autonome. Il·elle choisit lui·elle-même les membres du groupe de suivi, la thématique et le site de son étude. ...
MATH-522: Empirical processesWe learn how to control the nonasymptotic and random behavior of collections of estimators, when indexed by classes of functions/sets. Examples range from prototypical estimators used by statisticians, to nonparametric models used in machine learning. ...
HUM-478: Emotion, value, and life-defining choices IMost of us aspire to live meaningful lives. Yet, many of us would struggle to explain what a meaningful life is. This course provides philosophical tools and frameworks useful to understand our aspiration for meaning. ...
MGT-581: Introduction to econometricsThe course provides an introduction to econometrics for economics and financial applications. The objective is to learn how to make valid (i.e., causal) inference from economic and social data. ...
AR-301(ah): Studio BA5 (Malterre-Barthes)"To be useful, helpful, of assistance to someone:" The "In Service of: Berre" studio
reflects on the architectural and territorial project as a form of public service. It explores how architecture and design tools can engage in spatial struggles in the con ...
AR-155: Environmental history and theories IILe cours vise a familiariser les etudiants avec l'histoire de l'environnement et des paysages, et avec la maniere dont les preoccupations environnementales amenent a repenser aujourd'hui le sens et les principes de l'architecture et des disciplines de pr ...
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. ...
MATH-301: Ordinary differential equationsCe cours donne une introduction rigoureuse au principaux thèmes de la théorie des équations différentielles ordinaires (EDO). Les EDO sont fondamentales pour l'étude des systèmes dynamiques et des équations aux dérivées partielles. Des applications dans ce ...
