Welcome

• Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3)

Basic concepts of statistics - Part I

• Romain Madar (Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC))

Basic concepts of statistics - Part II

• Romain Madar (Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC))

Introduction to machine learning

• Vincent Barra (UCA)

Performance metrics; Boosted decision trees

• Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3)

Hands-on: basic statistics

• Guillaume Mention (CEA Saclay)

Classical interval estimation, limits, systematics and beyond - Part I

• Nicolas Berger (LAPP)

Hands-on: introduction to machine learning tools

• David Rousseau (IJCLab, CNRS/IN2P3, Université Paris-Saclay)

Classical interval estimation, limits, systematics and beyond - Part II

• Nicolas Berger (LAPP)

Introduction to deep learning - Part I

• Veronica Sanz (Universidad de Valencia & University of Sussex)

Introduction to deep learning - Part II

• Veronica Sanz (Universidad de Valencia & University of Sussex)

Deep learning at colliders

• Anja Butter (ITP, Universität Heidelberg)
• Anja Butter (Universität Heidelberg)

Hands-on: advanced machine learning

• Veronica Sanz (Universidad de Valencia & University of Sussex)

CERN quantum technology initiative

• Sofia Vallecorsa (CERN)

Farewell