Advanced Statistical Physics
| Keywords |
| Classification |
Keyword |
| OFICIAL |
Physics |
Instance: 2025/2026 - 1S 
Cycles of Study/Courses
Teaching Staff - Responsibilities
Teaching language
Suitable for English-speaking students
Objectives
Introduction to the study of phase transitions in equilibrium systems; study some examples of nonequilibrium phase transitions and ''complex behaviour'.
Learning outcomes and competences
General knowledge on phase transitions. Ability for analytic calculations, critical spirit.
Working method
Presencial
Pre-requirements (prior knowledge) and co-requirements (common knowledge)
Intermediate level Statistical Physics
Program
- Reviews and complements on probability theory, identical particles systems and foundations of statistical mechanics
- Methods for calculating thermodynamic quantities in interacting systems.
- Thermodynamics of phase transitions
- Order-disorder transitions and the renormalization theory
-Dissipative dynamics.Mandatory literature
Kardar , Mehran;
Statistical physics of particles. ISBN: 978-0-521-87342-0
Kardar , Mehran;
Statistical physics of fields. ISBN: 978-0-521-87341-3
Reichl, L.; A Modern Course in Statistical Physics, 2ed, Wiley, 1998
Complementary Bibliography
Klages, R.; et al; Nonequilibrium Statistical Physics of Small Systems: Fluctuation Relations and Beyond, Wiley, 2013
Puglisi, A.; et al.; Thermodynamics and Statistical Mechanics of Small Systems, Mdpi AG, 2018
Teaching methods and learning activities
Lectures of an expository nature; solving assigned problems at home.
Evaluation Type
Distributed evaluation with final exam
Assessment Components
| designation |
Weight (%) |
| Exame |
70,00 |
| Trabalho escrito |
30,00 |
| Total: |
100,00 |
Amount of time allocated to each course unit
| designation |
Time (hours) |
| Estudo autónomo |
120,00 |
| Frequência das aulas |
42,00 |
| Total: |
162,00 |
Eligibility for exams
Students who attend the course for the first time can give a maximum of 3 absences to theoretical-practical classes.Calculation formula of final grade
70% x final_exam + 30% x Solution of assigned problems.
Classification improvement
Only the final exam component of the classification can be improved.
Observations
The jury of the curricular unit includes:
-João M. Viana P. Lopes
- Miguel Nunes da Silva
- Vitor Pereira