Mathematical Modelling in the Applied Sciences (seminar course) (2019/2020)

Course code
Name of lecturer
Giandomenico Orlandi
Giandomenico Orlandi
Number of ECTS credits allocated
Academic sector
Language of instruction
I semestre dal Oct 1, 2019 al Jan 31, 2020.

Lesson timetable

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Learning outcomes

Study of mathematical models and methods (from both the theoretical and the numerical point of view) with applications to econophysics, biomedicine, statistics, data science and image processing. At the end of the course it is expected that the student has the ability to construct, develop and implement mathematical models for the applied sciences and to analyze their limits and applicability.


Variational methods for image processing: theory and applications.
Optimization methods in data analysis and machine learning, applications to statistics and biomedicine.
Mathematical models and methods for biology and econophysics.

Reference books
Author Title Publisher Year ISBN Note
DISPENSE Dispense fornite dal docente 2015

Assessment methods and criteria

In order to successfully pass the exam the student is expected to be able to mathematically describe a problem arising in different scientific disciplines, using, adapting and developing models and methods studied during the course.
The exam will consist in an in-depth study of some of the course topics, with the implementation of a numerical project (in MATLAB) and a final expository talk