## Topic outline

- General
- Lessons for the COVID-19 period
### Lessons for the COVID-19 period

During this period I will post hand-written lectures and accompanying audio lectures

(I will use .m4a format, that can be read , e.g., with VLC or Quick Time Player)

- Syllabus
### Syllabus

The course represents the natural continuation of the courses on Elementary Statistical Mechanics taught in BSc programs, that usually discuss the general principles on which Statistical Mechanics is based and the most elementary applications (typically ideal-gas systems), as these are the only ones that can be studied analytically. Analytic studies of more complex systems are not feasible, hence one must resort to numerical methods.

This the subject of the course: to present the conceptual foundations of the different methods that are presently used in the study of statistical systems. The emphasis is on the methods rather than on the systems. Hence the course is suitable for people interested in simulations of lattice QCD, spin systems, spin glasses and molecular systems. - Lessons: detailed bibliography
### Lessons: detailed bibliography

- EXAMS: what should I study?
### EXAMS: what should I study?

- Monte Carlo Methods
### Monte Carlo Methods

- Biased methods: notes
### Biased methods: notes

- Homework 1 (2019)
### Homework 1 (2019)

- Homework 2 (2019)
### Homework 2 (2019)

- Homework 3 (2019)
### Homework 3 (2019)

- Exercise 1 (2015/2018)
### Exercise 1 (2015/2018)

- Exercise 2 (2015-2018)
### Exercise 2 (2015-2018)

Homework 2

- Exercise 3 (2015-18)
### Exercise 3 (2015-18)

- Exercise 3 (2015)
### Exercise 3 (2015)

- Exercise 2 (2015)
### Exercise 2 (2015)

- Exercises 1 (2015)
### Exercises 1 (2015)