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Théorie des probabilités

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MGT-618: Computational research methods for social sciences

The objective of this course is to introduce doctoral students to computational methods for data-driven research in the social sciences.

COM-712: 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 trans

ENV-508: Analysis and management of industrial risks

Présenter aux étudiants: 1 - les notions de base de l'accidentologie industrielle par le biais du traitement de cas concrets (processus chimiques, stockages pétroliers, gazoduc,...) 2 - la mise en oeu

COM-622: Topics in information-theoretic cryptography

Information-theoretic methods and their application to secrecy & privacy. Perfect information-theoretic secrecy. Randomness extraction & privacy amplification. Secret key generation from common random

EE-618: Theory and Methods for Reinforcement Learning

This course describes theory and methods for decision making under uncertainty under partial feedback.

MATH-616: Numerical methods for random PDEs and uncertainty

The course focuses on mathematical models based on PDEs with random parameters, and presents numerical techniques for forward uncertainty propagation, inverse uncertainty analysis in a Bayesian framew

MATH-614: Foundations of causal inference

This seminar will provide a survey of the canonical literature in causal inference. At the end of this course, students will gain a broad understanding of the most important methodological concepts an

MATH-441: Robust and nonparametric statistics

In the decades from 1930 to 1950, many rank-based statistics were introduced. These methods were received with much interest, because they worked under weak conditions. Starting in the late 1950, a th

MATH-455: Combinatorial statistics

The class will cover statistical models and statistical learning problems involving discrete structures. It starts with an overview of basic random graphs and discrete probability results. It then cov

MATH-615: Gaussian free field through random walks

In this lecture series some important objects of random geometry are introduced and studied. In particular, the relation between the Gaussian free field and random walks / Brownian motions is explored