Numerical Methods for Computation 2017/2018

Academic Year 2017/2018

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

69176 - Numerical Methods for Computation

Course Unit Page