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-432: How people learn: Designing Learning Tools IThe students will understand the cognitive and social factors which affect learning - particularly in science and engineering. They will be able to use social research techniques as part of the design process to understand end users. ...
EE-566: Adaptation and learningIn this course, students learn to design and master algorithms and core concepts related to inference and learning from data and the foundations of adaptation and learning theories with applications.
PHYS-512: Statistical physics of computationThe students understand tools from the statistical physics of disordered systems, and apply them to study computational and statistical problems in graph theory, discrete optimisation, inference and machine learning. ...
ENG-633: Supervising Students in ProjectsThe combination of practical and reflective activities in this course provide participants with evidence-informed teaching skills for supervising and evaluating students working on projects. ...
CS-526: Learning theoryMachine learning and data analysis are becoming increasingly central in many sciences and applications. This course concentrates on the theoretical underpinnings of machine learning. ...
HUM-433: How people learn: Designing Learning Tools IIThe students will understand the cognitive and social factors which affect learning - particularly in science and engineering. They will be able to use social research techniques as part of the design process to understand end users. ...
HUM-489: Comment enseigner la durabilité IImpliquez-vous dans l'éducation à la durabilité grâce aux théories de l'apprentissage, à la facilitation et les réflexions sur l'écosysteme d'éducation. Développez vos compétences pour enseigner des problèmes complexes et encadrer des étudiant·es de bachel ...
ENG-629: Lecturing and Presenting in EngineeringInformed by contemporary research on teaching engineering, participants design and deliver lessons for specific audiences. This course is relevant for teaching assistants and those who intend to make teaching science or engineering part of their career, in ...
HUM-279: Learning and collaboration in projectsThis course addresses the theoretical and practical basis of learning and how to facilitate learning through projects. Active exploration of models, contexts and tools used in project-based learning will help you to develop cognitive and collaboration skil ...
LEARN-601: Theoretical Foundations of Learning Sciences 2How do people learn and how can we support learning? This is part 2 of a two-part course that provides an overview of major theoretical perspectives that attempt to describe how learning works, and serves as an introduction to interpreting education as a m ...
LEARN-600: Theoretical Foundations of Learning Sciences 1How do people learn and how can we support learning? This is part 1 of a two-part course that provides an overview of major theoretical perspectives that attempt to describe how learning works, and serves as an introduction to interpreting education as a m ...
EE-735: Online learning in gamesThis course provides an overview of recent developments in online learning, game theory, and variational inequalities and their point of intersection with a focus on algorithmic development. The primary approach is to lay out the different problem classes ...
HUM-280: Learning and leadership in projectsComment apprendre la gestion et le leadership en projet ? Ce cours est une exploration active de la pédagogie par projet, visant des bases théoriques et pratiques des modèles, contextes et outils de la pédagogie appliquée à la gestion et au leadership de p ...
PHYS-467: Machine learning for physicistsMachine learning and data analysis are becoming increasingly central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practised. ...
PENS-201: Making structural logicThe ENAC week provides students the possibility to engage into an iterative process of testing and exploring structural and material limits and possibilities through the collaborative design and construction of structural elements in folded steel. The ENAC ...
EE-411: Fundamentals of inference and learningThis is an introductory course in the theory of statistics, inference, and machine learning, with an emphasis on theoretical understanding & practical exercises. The course will combine, and alternate, between mathematical theoretical foundations and prac ...
HUM-490: Médiation scientifique ICet enseignement est une introduction à la théorie et la pratique de la médiation scientifique.
Cette année, ce cours aboutira à la création et l'animation d'un atelier pédagogique et interactif avec un groupe de jeunes. ...
PHYS-463: Computational quantum physicsThe numerical simulation of quantum systems plays a central role in modern physics. This course gives an introduction to key simulation approaches, through lectures and practical programming exercises. Simulation methods based both on classical and quantum ...
