73750 - Numerical Methods T

Course contents

• Brief mentions on machine numbers; conditioning of a problem and stability of an algorithm.
• Introduction to programming in MATLAB:
  • introduction to MATLAB as MATrix LABoratory;
  • programming elements;
  • graphics;
  • reading and writing data.
• Algorithms for solving non-linear equations.
• Approximation of experimental data: least squares principle, linear regression.

Readings/Bibliography

• Quarteroni, F. Saleri, "Calcolo Scientifico. Esercizi e problemi risolti con Matlab e Octave", Springer (2008)
• G. Naldi, L. Pareschi, "Matlab. Concetti e progetti", Apogeo (2007)
• Campi, E. Di Nitto, P. Spoletini, D. Loiacono, "Introduzione alla programmazione in Matlab", Esculapio (2011)

Teaching methods

Theoretical lectures and guided laboratory exercises (Matlab).

Given the type of activity and teaching methods adopted, the attendance of this course requires the prior participation of all students in the training modules 1 and 2 on safety in the study places ( https://elearning-sicurezza.unibo. it/ ) in e-learning mode.

Assessment methods

Attendance to the lessons is not mandatory nor will it be considered for the final evaluation, but it is highly recommended to maximize the teaching impact and to easy the students' learning.

The final exam (on the arguments of both modules) consists of a practical test containing exercises that require the analysis and preparation of Matlab codes. The test is aimed at ascertaining the skills acquired in solving mathematical problems using numerical methods implemented in Matlab.

Personal notes, codes and texts are not allowed in the test.

The test will assign a score from 0/30 to 30/30. The test is passed with a minimum score of 18/30.

Teaching tools

Slides provided by the teacher. The teaching material will be available on the University of Bologna e-learning platform (https://virtuale.unibo.it).

Office hours

See the website of Germana Landi