Previous Graduate school Courses

Academic year 2026–2027

Introduction to analysis and control of infinite-dimensional systems

By
Prof. Anthony Hastir, Department of Mathematics and NaXys, University of Namur
Period
October 27-29, 2026

Academic year 2025–2026

Identification in dynamic networks

By
Prof. Paul M.J. Van den Hof (Eindhoven University of Technology, The Netherlands)
Period
March 4–6, 2026

Stochastic variance-reduced optimization algorithms and applications to federated learning

By
Prof. Laurent Condat (King Abdullah University of Science and Technology – KAUST, Saudi Arabia)
Period
October 7–9, 2025

Academic year 2024–2025

Physical Modelling for Design and Control

By
Prof. Arjan van der Schaft (Bernoulli Institute and Jan C. Willems Center for Systems and Control, University of Groningen)
Period
September 1–4, 2025

An Introduction to Sparse Identification of Nonlinear Dynamics

By
Prof. Cassio Oishi (São Paulo State University – UNESP, Brazil)
Period
May 5–6, 2025

Learning theory from first principles

By
Prof. Francis Bach (INRIA – SIERRA project-team and École Normale Supérieure, Paris)
Period
April 1–3, 2025

Reinforcement learning and its implementation in Julia

By
Prof. Clemens Heitzinger (TU Wien – Technical University Vienna)
Period
November 18–22, 2024

Academic year 2023–2024

Nonnegative Matrix Factorization

By
Prof. Nicolas Gillis (University of Mons, Belgium)
Period
June 3, 5 and 10, 2024

Variational Analysis in Optimization and Control

By
Prof. Boris Mordukhovich (Wayne State University, Detroit, Michigan, USA)
Period
April 8–12, 2024

Mixed feedback systems

By
Prof. Rodolphe Sepulchre (KU Leuven and University of Cambridge) and Dr. Tom Chaffey (University of Cambridge)
Period
November 29, 30 and December 1, 2023

Other courses

Academic year 2022–2023

Robust Optimization

By
Prof. Ahmadreza Marandi (Eindhoven University of Technology)
Period
June 20, 23, 27 and 30, 2023

Extremum seeking in control: Methods, Theory and Applications

By
Prof. Martin Guay (Queen's University, Canada) and Prof. Denis Dochain (UCLouvain)
Period
April 25–27, 2023

Behavioral approach to system theory

By
Prof. Ivan Markovsky (Catalan Institution for Research and Advanced Studies)
Period
November 14, 16, 18 and December 5, 7, 9, 2022

Motivations, conditions, and solutions for state observers

By
Prof. Gildas Besançon (Institute of Engineering – Univ. Grenoble Alpes)
Period
October 6, 7, 10, 11, 12 and 13, 2022

Academic year 2021–2022

First-order methods in optimization

By
Prof. Amir Beck (Tel Aviv University)
Period
June 7–9, 2022

Fast Algorithms for dense structured matrices

By
Prof. Shiv Chandrasekaran (University of California Santa Barbara, USA) and Dr. Nithin Govindarajan (ESAT, KU Leuven, Belgium)
Period
March 2, 4, 7, 9 and 11, 2022

Academic year 2020–2021

Polynomial optimization and optimal control

By
Didier Henrion (CNRS Directeur de Recherche at LAAS, Toulouse, France, and Professor at the Department of Automatic Control, Faculty of Electrical Engineering, Czech Technical University in Prague)
Period
November 16, 17 and 18, 2020 · 9:30–12:15 and 13:15–16:00

Koopman operator theory in Systems and Control

By
Alexandre Mauroy (University of Namur – UNamur) and Igor Mezić (University of California, Santa Barbara, USA)
Period
Igor Mezić: August 18, 19 and 20, 2020 · 9:30–12:15

Alexandre Mauroy: September 1, 2 and 3, 2020 · 9:30–12:15

Academic year 2019–2020

Computational inverse problems

By
Prof. Laurent Demanet (MIT), visiting UCLouvain
Period
November 13, 15, 18, 20 and 27, 2019 · 11:00–12:30 and 14:00–15:30

An Introduction to Machine Learning and Deep Network Architectures

By
Prof. Sergios Theodoridis (Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece, and Chinese University of Hong Kong, Shenzhen, China)
Period
October 14–17, 2019 · 14:00–17:00

October 18, 2019 · 10:00–13:00

Academic year 2018–2019

Large scale convex and nonconvex optimization

By
Prof. Panos Patrinos (KU Leuven)
Period
April 8, 10, 12, 15 and 17, 2019 · 9:30–12:30

Computational Optimal Transport for imaging and learning

By
Prof. Gabriel Peyré (DMA, École Normale Supérieure)
Period
January 14, 2019 · 13:30–16:45

January 15, 2019 · 9:30–12:45 and 13:45–15:30

January 21, 2019 · 13:30–16:45

January 22, 2019 · 9:30–12:45 and 13:45–15:30

Fundamentals of Supervised learning with a focus on Deep learning

By
Prof. Massih-Reza Amini (Université Grenoble Alpes)
Period
October 29, 30 and 31, 2018 · 9:30–12:30 and 13:30–16:30