Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Type D and Type F activities
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea magistrale in Mathematics - Enrollment from 2025/2026| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Python programming language | D |
Maurizio Boscaini
(Coordinator)
|
| 1° 2° | SageMath | F |
Zsuzsanna Liptak
(Coordinator)
|
| 1° 2° | History of Modern Physics 2 | D |
Francesca Monti
(Coordinator)
|
| 1° 2° | History and Didactics of Geology | D |
Guido Gonzato
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Advanced topics in financial engineering | D |
Luca Di Persio
(Coordinator)
|
| 1° 2° | C Programming Language | D |
Sara Migliorini
(Coordinator)
|
| 1° 2° | C++ Programming Language | D |
Federico Busato
(Coordinator)
|
| 1° 2° | LaTeX Language | D |
Enrico Gregorio
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Axiomatic set theory for mathematical practice | F |
Peter Michael Schuster
(Coordinator)
|
| 1° 2° | Corso Europrogettazione | D | Not yet assigned |
| 1° 2° | Corso online ARPM bootcamp | F | Not yet assigned |
| 1° 2° | ECMI modelling week | F | Not yet assigned |
| 1° 2° | ESA Summer of code in space (SOCIS) | F | Not yet assigned |
| 1° 2° | Google summer of code (GSOC) | F | Not yet assigned |
| 1° 2° | Higher Categories - Seminar course | F |
Lidia Angeleri
(Coordinator)
|
Mathematical Modelling in the Applied Sciences (seminar course) (2019/2020)
Teaching code
4S008271
Teacher
Coordinator
Credits
6
Also offered in courses:
- Mathematical methods for applied sciences (seminar course) of the course Master's degree in Mathematics
Language
English
Scientific Disciplinary Sector (SSD)
MAT/05 - MATHEMATICAL ANALYSIS
Period
I semestre dal Oct 1, 2019 al Jan 31, 2020.
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.
Program
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.
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| DISPENSE | Dispense fornite dal docente | 2015 |
Examination Methods
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
