Learning Outcomes

1. Analyse biological systems using techniques of statistical physics.
2. Analyse interacting particle systems through simple models and simulation techniques.
3. Analyse random paths and use them to model real systems.
4. Analyse simple stochastic equations.
5. Analyse stochastic processes and use them to model physical systems and in other ambits.
6. Apply Fermi statistics to a degenerate gas of relativistic particles.
7. Apply different techniques of simulation for the study of systems with interaction to simple cases: Monte Carlo, molecular dynamics, Brownian dynamics and Langevin dynamics.
8. Apply statistical physics to interacting particle systems.
9. Apply the concept of frozen and wake degrees of freedom to predicting the heat capacity of gases.
10. Apply the kinetic theory of quantum gases and predict the thermal conductivity of metals and insulators.
11. Applying the tools of kinetic theory to describe transport processes.
12. Communicate complex information in an effective, clear and concise manner, either orally, in writing or through ICTs, in front of both specialist and general publics.
13. Correctly apply the theory of ideal systems for groups of distinguishable and indistinguishable particles.
14. Deduce classical and quantum statistics and apply them correctly to different systems.
15. Define characteristic magnitudes to discern the relevance of different mechanisms.
16. Describe and Analyse the Bose-Einstein condensation.
17. Describe and analyse the models of Weiss, Landau and Ising for magnetic systems with interaction.
18. Describe and quantify Brownian motion.
19. Describe biological systems using techniques of statistical physics.
20. Describe ion transport in passive and active membranes, quantifying it for certain simple models.
21. Describe the basis of Brownian motors.
22. Describe the concept of stochastic process and apply their basic techniques to the description of physical systems.
23. Describe the most important statistical groups and the assumptions underlying the theory of groups.
24. Describe the thermal denaturation of DNA and quantify it for certain simple models.
25. Determine the fraction of molecules adsorbed on a macromolecule in simple models.
26. Determine the magnetic response of a superparamagnetic nanoparticle and the behaviour in a dispersion of these particles.
27. Distinguish between mean-field models and those that are not.
28. Identify situations in which a change or improvement is needed.
29. Identify the social, economic and environmental implications of academic and professional activities within one’s own area of knowledge.
30. Qualitatively and quantitatively describe the behaviour of system close to critical points and the concept of universality.
31. Qualitatively and quantitatively predict the macroscopic behaviour of ideal magnetic systems for classical and quantum moments.
32. Quantify the contribution of each internal degree of freedom in the heat capacity of a gas in diatomic molecules.
33. Reason the temperature dependence of heat capacity for electrons and the crystalline network.
34. Use critical reasoning, show analytical skills, correctly use technical language and develop logical arguments
35. Use mean-field approaches to describe physical systems.
36. Work independently, take initiative itself, be able to organize to achieve results and to plan and execute a project.
37. Working in groups, assume shared responsibilities and interact professionally and constructively with others, showing absolute respect for their rights.