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

Cours

MATH-448: Statistical analysis of network data

Cours associés (31)

PHYS-642: Statistical physics for optimization & learning

This course covers the statistical physics approach to computer science problems, with an emphasis on heuristic & rigorous mathematical technics, ranging from graph theory and constraint satisfaction to inference to machine learning, neural networks and st ...

COM-308: Internet analytics

Internet analytics is the collection, modeling, and analysis of user data in large-scale online services, such as social networking, e-commerce, search, and advertisement. This class explores a number of the key functions of such online services that have ...

CS-250: Algorithms I

The students learn the theory and practice of basic concepts and techniques in algorithms. The course covers mathematical induction, techniques for analyzing algorithms, elementary data structures, major algorithmic paradigms such as dynamic programming, s ...

MATH-131: Probabilités et statistique

Le cours présente les notions de base de la théorie des probabilités et de l'inférence statistique. L'accent est mis sur les concepts principaux ainsi que les méthodes les plus utilisées. ...

MATH-111(e): Algèbre linéaire

L'objectif du cours est d'introduire les notions de base de l'algèbre linéaire et ses applications. ...

CS-411: Digital education

This 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 ...

MICRO-455: Machine learning I

MATH-111(c): Algèbre linéaire

L'objectif du cours est d'introduire les notions de base de l'algèbre linéaire et ses applications. ...

MGT-418: Convex optimization

This course introduces the theory and application of modern convex optimization from an engineering perspective. ...

MATH-408: Regression methods

General graduate course on regression methods ...

MGT-416: Causal inference

Students will learn the core concepts and techniques of network analysis with emphasis on causal inference. Theory and application will be balanced, with students working directly with network data throughout the course. ...

Cours associés (31)

PHYS-642: Statistical physics for optimization & learning

COM-308: Internet analytics

CS-250: Algorithms I

MATH-131: Probabilités et statistique

Le cours présente les notions de base de la théorie des probabilités et de l'inférence statistique. L'accent est mis sur les concepts principaux ainsi que les méthodes les plus utilisées. ...

MATH-111(e): Algèbre linéaire

L'objectif du cours est d'introduire les notions de base de l'algèbre linéaire et ses applications. ...

CS-411: Digital education

MICRO-455: Machine learning I

MATH-111(c): Algèbre linéaire

L'objectif du cours est d'introduire les notions de base de l'algèbre linéaire et ses applications. ...

MGT-418: Convex optimization

This course introduces the theory and application of modern convex optimization from an engineering perspective. ...

MATH-408: Regression methods

General graduate course on regression methods ...

MGT-416: Causal inference