Rüdiger Urbanke

INR 116 (Bâtiment INR)
Station 14
CH-1015 Lausanne

Web site: Web site: https://lthcwww.epfl.ch/

Administrative data

Fields of expertise

coding, communications, information theory, graphical models, methods of statistical physics applied to problems in communications and computer science


Infoscience publications

Teaching & PhD


Communication Systems

Computer Science

PhD Programs

Doctoral program in computer and communication sciences


Foundations of Data Science

We discuss a set of topics that are important for the understanding of modern data science but that are typically not taught in an introductory ML course. In particular we discuss fundamental ideas and techniques that come from probability, information theory as well as signal processing.

Statistical Physics for Communication and Computer Science

The course introduces the student to notions of statistical physics which have found applications in communications and computer science. We focus on graphical models with the emergence of phase transitions, and their relation to the behavior of efficient algorithms.

Learning theory

Machine learning and data analysis are becoming increasingly central in many sciences and applications. This course concentrates on the theoretical underpinnings of machine learning.