Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Concept

Computer-supported collaborative learning

Related courses (7)

LEARN-600: Theoretical Foundations of Learning Sciences 1

How 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 ...

LEARN-601: Theoretical Foundations of Learning Sciences 2

How 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 ...

EE-735: Online learning in games

This 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 ...

CS-625: Transfer learning and meta-learning

This seminar course covers principles and recent advancements in machine learning methods that have the ability to solve multiple tasks and generalize to new domains in which training and test distributions are different. ...

AR-629: Transition workshop 2022 / Theory masterclass

Theoretical training on ecological transition with 21 internationally renowned experts. A concise introduction to the issues and dimensions of ecological transition by design; a cross-disciplinary overview to data and tools for the analysis of climate emer ...

AR-628: Transition workshop 2022

Focusing on the cricital issues of Geneva's changing landscape, the workshop offers a concise introduction to the issues and dimensions of ecological transition by design at all scales, and a cross-disciplinary overview to data and tools for the analysis o ...

CS-605: Computational and statistical learning theory

Statistical learning theory for supervised learning and generalization in PAC and online models (VC theory, MDL/SRM, covering numbers, Radamacher Averages, boosting, compression, stability and connection with strong convexity in Banch spaces); Computationa ...