B2374 - Mathematical Models for Industrial Engineering

Academic Year 2024/2025

  • Teaching Mode: Traditional lectures
  • Campus: Forli
  • Corso: Second cycle degree programme (LM) in Mechanical Engineering for Sustainability (cod. 5980)

    Also valid for Second cycle degree programme (LM) in Nautical Engineering (cod. 5947)

Learning outcomes

The course focuses on the advanced mathematics areas which are most commonly used in mechanical and industrial engineering applications. At the end of the course the student is able to build, use and validate physical-mathematical models.

Course contents

- Introduction on mathematical modeling
- Review on ordinary differential equations
- Dynamical systems and applications
- The Fourier series
- The Fourier transform
- Some informations on the Laplace transform
- Introduction to partial differential equations;
examples and applications of hyperbolic, elliptic and
parabolic-type equations
- Outlines on probability theory

Readings/Bibliography

1. K. F. Riley, M. P. Hobson, S. J. Bence, "Mathematical Methods for Physics and Engineering: A Comprehensive Guide", Cambridge University Press, 2006;
2. K. F. Riley, M. P. Hobson, “Student Solutions Manual for Mathematical Methods for Physics and Engineering”, Cambridge University Press, 2006;
3. T. Ruggeri, "Introduzione alla Termomeccanica dei Continui", Monduzzi editore, 2007;
4. F. Bagarello, "Fisica Matematica", Zanichelli editore, Bologna, 2007;
5. S. Abenda, S. Matarasso, "Metodi Matematici", Societa' Editrice Esculapio, Bologna, 2003;
6. G. Borgioli, "Modelli Matematici di Evoluzione ed Equazioni Differenziali", Celid editore, 1996;
7. S. Salsa, "Equazioni a Derivate Parziali", Springer, 2004;
8. N. Tichonov, A. A. Samarskij, "Equazioni della Fisica Matematica", edizioni Mir, 1981;
9. Sheldom M. Ross, "Calcolo delle probabilità", Apogeo editore, 2004.

Teaching methods

Lessons with theory and exercises by means of blackboard and videoprojector.

Assessment methods

The exam consists of an oral test, during about an hour: in the first part (about 1/2 hour), the student must show the ability of solving Fourier series, partial differential equations and probability problems, and then must have a discussion about some of the principal arguments of theory developed during the lessons, with particular attention to the methodological approach.

Teaching tools

Video projector and network connection.
Course notes for all the topics of the course in English and Italian.
Interpreting service Italian-English during the lessons offered by our university (for the student of the two years master in Mechanical Engineering for Sustainibility).

Office hours

See the website of Leonardo Seccia

SDGs

Quality education

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.