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. 2026/2027 A.A. 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
12
B
MAT/05
6
B
MAT/07

2° Year   It will be activated in the A.Y. 2026/2027

ModulesCreditsTAFSSD
Final exam
30
E
-
ModulesCreditsTAFSSD
12
B
MAT/05
6
B
MAT/07
It will be activated in the A.Y. 2026/2027
ModulesCreditsTAFSSD
Final exam
30
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
2 modules among the following: area algebra and geometry + analysis
- A.A. 2025/2026 Homological Algebra not activated
- A.A. 2026/2027 Applied algebra not activated
6
B
MAT/03
6
B
MAT/02 ,MAT/03
6
B
MAT/02
6
B
MAT/03
6
B
MAT/02
6
B
MAT/05
6
B
MAT/02
6
B
MAT/05
6
B
MAT/05
Between the years: 1°- 2°
3 modules among the following: area modeling and computational mathematics
6
B
MAT/07
6
B
MAT/08
6
B
MAT/06
6
B
MAT/09
6
B
MAT/08
6
B
MAT/08
6
B
MAT/08
6
B
MAT/06
6
B
MAT/06
6
B
MAT/06
Between the years: 1°- 2°
24 credits among the following courses
- A.A. 2025/2026 Homological Algebra not activated.
- A.A. 2025/2026 Physics education laboratory not activated
- A.A. 2026/2027 Applied algebra not activated
6
C
MAT/01
6
C
MAT/03
6
C
MAT/02 ,MAT/03
6
C
MAT/07
6
C
MAT/02
6
C
MAT/02
6
C
INF/01
6
C
INF/01
6
C
MAT/03
6
C
MAT/08
6
C
MAT/02
6
C
SECS-P/08
6
C
INF/01
6
C
MAT/06
6
C
MAT/01
6
C
MAT/05
6
C
MAT/09
12
C
MAT/04
6
C
MAT/02
6
C
FIS/01
6
C
MAT/08
6
C
MAT/08
6
C
MAT/08
6
C
MAT/05
6
C
MAT/05
6
C
FIS/01
6
C
MAT/06
6
C
MAT/06
6
C
MAT/06
Between the years: 1°- 2°
Further activities
6
F
-
Between the years: 1°- 2°
12
D
-

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 Modelling in the Applied Sciences (seminar course)  (2025/2026)

Teaching code

4S008271

Teacher

Giandomenico Orlandi

Coordinator

Giandomenico Orlandi

Credits

6

Also offered in courses:

Language

English en

Scientific Disciplinary Sector (SSD)

MAT/05 - MATHEMATICAL ANALYSIS

Period

1st semester dal Oct 1, 2025 al Jan 30, 2026.

Courses Single

Authorized

Lessons timetable MoodleMoodle Seminars 5

Learning objectives

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.

Prerequisites and basic notions

Linear algebra - Calculus 1 and 2 - Dynamical systems

Program

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

Bibliography

Vai alla bibliografia
Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

Course material will be available online. Lectures (see the course schedule) will be held in-class or in hybrid mode.

Learning assessment procedures

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

Evaluation 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.

Criteria for the composition of the final grade

mark of the oral exam

Exam language

english