|SCIENTIFIC DISCIPLINARY SECTOR
The course will introduce and analyze fundamental tools for the numerical solution of mathematical problems and for the mathematical modeling of complex systems, with application in the field of Bioengineering.
AIMS AND CONTENT
The module aims at introducing some of the main mathematical tools that are largely used in applications, and experimenting with them using the PC. Specific topics include: iterative algorithms The module aims at introducing some of the main mathematical tools that are largely used in applications, and experimenting with them using the PC. Specific topics include: iterative algorithms and gradient methods, interpolation, regularization and inverse problems.
AIMS AND LEARNING OUTCOMES
The course will provide the mathematical basis allowing the student to treat a diverse class of problems of interest in the field of bioengineering; lectures will focus on both computational techniques, as well as modeling tools for complex systems. In order to better understand the presented topics, theoretical lectures will be complemented by exercises also involving the use of the PC.
At the end of the couse, the student will be able to
- select the proper mathematical tools for solving a large class of problems;
- understand potential and limitations of the learned techniques;
- use the PC to analyze and explore mathematical models of complex systems.
elements of calculus and linear algebta
- Elements of linear algebra and matrix computation
- Iterative algorithms
- Polinomial interpolation and splines
- Numerical integration
- Least squares and inverse problems
- Statistical approach to inverse problems
Lecture notes provided by the teacher
TEACHERS AND EXAM BOARD
ALBERTO SORRENTINO (President)
FEDERICO BENVENUTO (President Substitute)
L'orario di tutti gli insegnamenti è consultabile all'indirizzo EasyAcademy.
Proper understanding of topics is verified during the oral exam,.
Furthermore, computational exercises carried out during lectures are collected and examine to verify that the student is capable of using the computer to analyze complex mathematical models.