- Docente: Carolina Vittoria Beccari
- Crediti formativi: 6
- SSD: MAT/08
- Lingua di insegnamento: Inglese
- Moduli: Carolina Vittoria Beccari (Modulo 1) Davide Palitta (Modulo 2)
- Modalità didattica: Convenzionale - Lezioni in presenza (Modulo 1) Convenzionale - Lezioni in presenza (Modulo 2)
- Campus: Bologna
-
Corso:
Laurea Magistrale in
Ingegneria chimica e di processo (cod. 8896)
Valido anche per Laurea Magistrale in Ingegneria per l'ambiente e il territorio (cod. 8894)
-
Orario delle lezioni (Modulo 1)
dal 21/09/2023 al 13/10/2023
-
Orario delle lezioni (Modulo 2)
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.
Further optional reading:
- 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.