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.

Study Plan

A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021 A.A. 2019/2020 A.A. 2018/2019 A.A. 2017/2018 A.A. 2016/2017 A.A. 2015/2016 A.A. 2014/2015 A.A. 2013/2014 A.A. 2012/2013 A.A. 2011/2012 A.A. 2010/2011 A.A. 2009/2010

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

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
6
B
MAT/08
6
B
MAT/07
6
B
MAT/03
12
B
MAT/05
6
B
MAT/05
6
C
MAT/06

2° Year   activated in the A.Y. 2019/2020

ModulesCreditsTAFSSD
6
B
MAT/05
Final exam
32
E
-
activated in the A.Y. 2019/2020
ModulesCreditsTAFSSD
6
B
MAT/05
Final exam
32
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
3 modules to be chosen among the following
6
C
MAT/03
6
C
MAT/08
6
C
MAT/02
6
C
MAT/02
6
C
MAT/06
6
C
MAT/05
6
C
INF/01
6
C
MAT/09
6
C
MAT/08
6
C
MAT/07
6
C
MAT/08
Between the years: 1°- 2°
To be chosen between
6
B
MAT/02
6
B
MAT/02
Between the years: 1°- 2°
12
D
-
Between the years: 1°- 2°
Other activities
4
F
-

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Mathematical methods for applied sciences (seminar course)  (2018/2019)

Teaching code

4S001441

Teacher

Giandomenico Orlandi

Coordinator

Giandomenico Orlandi

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

MAT/05 - MATHEMATICAL ANALYSIS

Period

I semestre dal Oct 1, 2018 al Jan 31, 2019.

Lessons timetable MoodleMoodle Seminars 9

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.

Reference texts
Author Title Publishing house Year ISBN Notes
J. Murray Mathematical Biology Springer 2002 0-387-95223-3

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

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE