- Docente: Giulio Casciola
- Credits: 8
- SSD: MAT/08
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
-
Corso:
First cycle degree programme (L) in
Information Science for Management (cod. 8014)
Also valid for First cycle degree programme (L) in Chemistry and Materials Chemistry (cod. 8006)
Learning outcomes
The general ideas and concepts of scientific computation and error analysis are introduced. The lessons are mostly concerned with the treatment of traditional mathematical problems and the aspects which are of importance for the design of algorithms are examined closely.
Course contents
Some general principles of numerical calculation, how to obtain and
estimate accuracy in numerical calculations. Approximation of
functions and solution of the approximation of experimental data by
the method of least squares. Finding roots of a nonlinear equation,
numerical integration, differentiation and interpolation. Numerical
methods for the solution of systems of linear equations.
For chemistry students: after the theoretical part there will
be laboratory module (dr. Germana Landi) with the following
contents: basic use of electronic sheets; laboratory of matrices
with Matlab; graphics with Matlab; solution of the numerical
problems treated in the theoretical topics in Matlab.
Readings/Bibliography
1.A. Quarteroni, R.sacco, F. Saleri, Matematica Numerica, Springer
(2008);
2.A. Quarteroni, F. Saleri, Calcolo Scientifico esercizi e problemi
risolti con Matlab e Octave. Springer (2008);
3.V. Comincioli, Analisi Numerica: metodi, modelli, applicazioni.
Apogeo, on-line ed.(2005)
Teaching methods
Tasks are assigned weekly for learning the presented
concepts.
Assessment methods
The assessment of learning is done through an oral exam in which students must demonstrate knowledge of and be able to explain the most important numerical methods exposed during the course. The vote on the examination takes into account also any exercises assigned during the hours of laboratory and that the student plays and delivery. Examination want to evaluate how much the student has acquired in order to be able to solve practical problems of scientific computing.
Teaching tools
Teacher's pantries
Links to further information
http://www.dm.unibo.it/~casciola/html/mnc1718.html
Office hours
See the website of Giulio Casciola