Enrollment year
2021/2022
Academic discipline
NN (INDEFINITO/INTERDISCIPLINARE)
Department
DEPARTMENT OF MATHEMATICS "FELICE CASORATI"
Course
ARTIFICIAL INTELLIGENCE
Curriculum
PERCORSO COMUNE
Period
2nd semester (04/03/2024 - 18/06/2024)
Lesson hours
36 lesson hours
Learning outcomes
The goal of the laboratory is to gain hand-on experience in simulating statistical physics models of complex systems.
Course contents
The laboratory will be based on exploratory activities that will be devoted to the simulation of complex phenomena, focusing on emergent phenomena. Topics to be studied incude:
- Random walks and diffusion
- Equilibrium phase transitions -Percolation
-Non-equilibrium dynamics in disordered systems.
- Avalanche phenomena and self-organized criticality
-Neural networks
Teaching methods
ach of the research topics will be briefly introduced from a theoretical point of view. This will then be followed by a computational introduction part carried out through an example python notebook. Students will then be asked to choose a theme for further developments on the topic.
Reccomended or required readings
Sethna, James P. Statistical mechanics: entropy, order parameters, and complexity. Vol. 14. Oxford University Press, USA, 2021.
Jensen, Henrik Jeldtoft. Complexity science: the study of emergence. Cambridge University Press, 2022.
Assessment methods
Notebooks produced by students will be evaluated.
Sustainable development goals - Agenda 2030