69176 - Numerical Methods for Computation

Academic Year 2019/2020

  • 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 polynomial interpolation. Finding roots of a nonlinear equation, numerical integration and numerical methods for the solution of systems of linear equations. The theoretical topics will be supported by a laboratory activity in which the Matlab / Octave system will be used for testing the proposed methods.

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/mnc1920.html

Office hours

See the website of Giulio Casciola