Statistical Physics of Complex Systems
A.Y. 2024/2025
Learning objectives
The course will deal with subjects of modern statistical mechanics useful in data science, like mean-field methods, disordered systems and spin glasses, problems of combinatorial optimisation, statistical mechanics of networks, inference.
Expected learning outcomes
The student will learn to use in an independent way the tools of interdisciplinary statistical mechanics, with application to biology, computer science, ecology, etc.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
FIS/02 - THEORETICAL PHYSICS, MATHEMATICAL MODELS AND METHODS - University credits: 6
Lessons: 42 hours
Professor:
Cosentino Lagomarsino Marco
Professor(s)