Period: Second semester

Course unit contents: The program can be summarized as follows

  • Statistical mechanics ensemble
  • Entropy
  • Ising model
  • Variational principles in statistical mechanics
  • Principle of maximum entropy and inference
  • Diffusion Processes and stochastic dynamics
  • Stochastic amplification
  • Reaction rate theory
  • Stochastic resonance
  • Population dynamics with applications to ecosystems

Planned learning activities and teaching methods: The course is organized in lectures whose contents are presented on the blackboard, sometimes with the help of images, diagrams and videos. The teaching is interactive, with questions and presentation of case studies, in order to promote discussion and critical thinking.

The use of generative-AI tools (e.g. ChatGPT) is permitted only for critical support on the study material. Any use must be clearly declared and must comply with University of Padova and with the Physics of Data policies on academic integrity.

In addition to contacting the course instructor, students with disabilities, Specific Learning Disorders (SLD), Special Educational Needs (SEN), and other health conditions can reach out to the Student Services Office - Inclusion Unit to receive more information about opportunities to access teaching with specific support and tools.

Ultime modifiche: giovedì, 7 agosto 2025, 10:47