PHYSICS LABORATORY (UNIT 2)
cod. 00552

Academic year 2013/14
1° year of course - Second semester
Professor
Roberto DE PIETRI
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 - - -

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

- - -

2030 agenda goals for sustainable development

- - -

Contacts

Toll-free number

800 904 084

Student registry office

Tel. +39 0521 905116
E-mail segsmfn@unipr
 

Quality assurance office

Education manager:
Dr. Marco Squarcia
Tel. +39 0521 906094
Office E-mail segreteria.smfi@unipr
Manager E-mail marco.squarcia@unipr.it

 

President of the degree course

Prof. Luigi Cristofolini
E-mail: luigi.cristofolini@unipr.it

Deputy President of the degree course

Prof. Eugenia Polverini
E-mail eugenia.polverini@unipr.it


Faculty advisor

Prof. Danilo Bersani
E-mail danilo.bersani@unipr.it

Prof.ssa Antonella Parisini
E-mail: antonella.parisini@unipr.it 

Prof. Francesco Cugini
E-mail: francesco.cugini@unipr.it 

Career guidance delegate

Prof. Alessio Bosio
E-mail alessio.bosio@unipr.it

Tutor Professors

Prof. Marisa Bonini
E-mail marisa.bonini@unipr.it

Prof. Stefano Carretta
E-mail stefano.carretta@unipr.it

Prof. Eugenia Polverini
E-mail eugenia.polverini@unipr.it

Prof. Cristiano Viappiani
E-mail cristiano.viappiani@unipr.it

 

Erasmus delegates

Prof. Bersani Danilo 
E-mail: bersani.danilo@unipr.it

Prof. Guido D'Amico
E-mail:guido.damico@unipr.it

Quality assurance manager

Prof. Paolo Santini 
E-mail: paolo.santini@unipr.it 

Tutor students

Dott. Alessandro Testa
E-mail: alessandro.testa@unipr.it

Contact person for students of vulnerable groups

Prof. Andrea Baraldi Tel: 0521.905234
E-mail: andrea.baraldi@unipr.it