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 l
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 m
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.
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 l
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
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.
