Courses are taught at the Physics Department of Sapienza University of Rome.

Courses at Sapienza University, Dept. Physics

• From entropy to machine learning — 20-hour mini-course, Excellence Honours Programme in Physics. 2025–26.
• Statistical Physics and Machine Learning — MSc in Physics (LM-17), 6 CFU. Since 2024–25.
• Entropies — mini-course, Excellence Honours Programme in Physics. 2023–24, 2024–25.
• Statistical Inference and Machine Learning: the inverse Ising model — mini-course, Excellence Honours Programme in Physics. 2021–22, 2022–23, 2024–25.
• Theory of Stochastic Processes — MSc in Physics, 6 CFU. 2019–20 to 2023–24.
• Probability Theory — BSc in Physics, 6 CFU. 2018–19 to 2023–24.
• Laboratory of Computational Physics I — BSc in Physics, 6 CFU. 2018–19.

Doctoral and external courses

• Theories and phenomenology of glassy systems — PhD School in Physics, Sapienza. 2014–15 to 2017–18.
• Replicas and spin-glasses — Advanced Topics in Complex Systems Modelling, King’s College London. 2014.
• Theories and phenomenology of structural glasses — PhD School in Physics, Sapienza. 2005–06 to 2013–14
• Disordered Systems — 1st NETADIS Summer School, Hillerød, Denmark. 2013.
• Disordered systems photonics — PhD School in Physics, Sapienza. 2010–11.

Textbooks

• L. Leuzzi, E. Marinari, G. Parisi, Probability Theory for Quantitative Scientists, Cambridge University Press, 2025. ISBN 9781009580656.
• L. Leuzzi, E. Marinari, G. Parisi, Calcolo delle probabilità. Un trattatello per principianti volenterosi, Zanichelli, 2023. ISBN 9788808499660.

Teaching notes and material

Thesis supervision

Doctoral theses have been supervised at Sapienza University of Rome and Roma Tre; MSc theses at Sapienza and at the University of Milan; BSc dissertations at Sapienza. Current thesis opportunities are listed under Openings.