Physics | University of Parma

Professor
Academic discipline: Fisica sperimentale (FIS/01)
Field: Sperimentale applicativo
Type of training activity: Characterising

62 hours
of face-to-face activities

6 credits

hub: PARMA

course unit
in - - -

lectures timetable unavailable

exam calls

Integrated course unit module: PHYSICS LABORATORY

Learning objectives

The course will provide an overview of computational tools useful for making predictions from the theoretical modeling (formalization) of physical problems. A particular attention will be dedicated to simulation methods.

Prerequisites

no prerequisites

Course unit content

The course will show how to derive physical prediction (numerical values) from a mathematical model and, consequently, as how to estimate parameters of a mathematical model from measurements.

The main topics of the course are:

1) General issues of numerical calculation and implementation of algorithms.
2) software tools to implement numerical algorithms (matlab/python/C/C++).
3) Methods of solution of ordinary differential equations and the partial derivatives.
4) Statistical methods for data processing.
5) The problems resulting from the extraction of the parameters of a mathematical model from the experimental data.

Full programme

- - -

Bibliography

Notes provided by the lecturer.

Teaching methods

Formal presentation of the topics will be followed by group sessions in which students will experiment (by implementing the numerical code) benefit and problems of the presented simulation algorithms.

Assessment methods and criteria

Evaluation will be based on tests during the course. At the end of the course to every student will be assigned a problem to be solved via numerical simulations. Students will present their solution, together with a report, in front of their collegues.

Other information