The course aims at providing an elementary introduction to modeling and
numerical simulations techniques, which are of common usage in
Computational Physics. Though born in the framework of scientific
applications, these techniques are as a matter of fact of general
relevance. As a results, they proved to be effective in a variety of fields
(economics and finance, computer networks, computational biophysics).
In view of this, the course will be to a large extent a collection of topics
presented in a seminar style. On top of providing conceptual and
technical tools, the course will aim in the end at tackling a project, in
which the students will finalize one of the simulations introduced during
the classes. This activity will be the subject of the final examination.
This is also intended to improve the presentation skills of the students
(they should be able to argue in public while presenting a project of their
own). After having attended the course, students should master the very
bases of probability theory and put those at work when it comes to statistics.
In particular, they should be able to estimate errors on sample means,
recognizing autocorrelation effects.