# 73513 - NUMERICAL METHODS M

• dal 21/09/2023 al 13/10/2023

• dal 19/10/2023 al 15/12/2023

## Conoscenze e abilità da conseguire

A successful learner from this course will be able to: a) deal with numerical analysis topics such as: accuracy, truncation and round-off errors, condition numbers, convergence, stability, curve-fitting, interpolation, numerical differentiation and integration, numerical linear algebra; b) deal with numerical methods for solving ordinary and partial differential equations, with finite difference and finite element methods for parabolic and elliptic partial differential equations.

## Contenuti

• The course will cover fundamental topics in numerical computation, including in particular:

- Computer arithmetic;

- Solving nonlinear equations;

- Solving systems of linear and nonlinear equations;

- Least squares approximation and data filling;

- Polynomial and spline interpolation.

• Throughout the course, lectures will be supported by computer laboratory sessions, during which the Matlab software will be used for experimenting with numerical phenomena and solving practical problems.

## Testi/Bibliografia

Learning material, including slides, exercises and quizzes will be provided throughout the course and will be made available for download to all students enrolled in the course.

- U. Ascher, C. Greif, A first course in Numerical Methods, SIAM, 2011.

- A. Quarteroni, R. Sacco and F. Saleri, "Numerical Mathematics, Second Ed.", Springer, 2007.

- M.T. Heath, "Scientific Computing. An introductory survey", McGraw-Hill, 1997.

## Metodi didattici

The course involves theoretical lectures and practical work based on computational software such as Matlab.

Quizzes and solved exercises will be provided as supplementary material.

Constant attendance at lectures and computer laboratory sessions is paramount in order to learn the contents of the course.

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

## Modalità di verifica e valutazione dell'apprendimento

Final examination consists in a written exam including exercises with Matlab and written questions.

Sample tests will be provided to help students assess their level of learning.

## Strumenti a supporto della didattica

Lectures, lecture slides, quizzes, computer lab activities and exercises with Matlab.

## Orario di ricevimento

Consulta il sito web di Carolina Vittoria Beccari

Consulta il sito web di Davide Palitta

### SDGs

L'insegnamento contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.