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

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. 2018/2019

ModulesCreditsTAFSSD
6
B
MAT/05
Final exam
32
E
-
activated in the A.Y. 2018/2019
ModulesCreditsTAFSSD
6
B
MAT/05
Final exam
32
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
3 courses to be chosen between
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 activitites
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

Research and modelling seminar (seminar course)  (2017/2018)

Teaching code

4S003730

Teacher

Giacomo Albi

Coordinator

Giacomo Albi

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

MAT/07 - MATHEMATICAL PHYSICS

Period

I sem. dal Oct 2, 2017 al Jan 31, 2018.

Lessons timetable MoodleMoodle Seminars 10

Learning outcomes

The purpose of the course is to give the student a solid appreciation of the deep connections between mathematics and other scientific disciplines, both in terms of the mathematical problems that they inspire and the important role that mathematics plays in scientific research. Mathematical software tools, and others, will be used to implement algorithms for the solution of the problems studied during the course. At the end of the course the student is expected to be able to complete professional and technical tasks of a high level in the context of mathematical modelling and computation, both working alone and in groups.

Program

The following topics will be discussed:

* Advanced methods and models for Differential Equations.
* Numerical Optimization: MPC method, Dynamic Programming.
* Applications to opinion formation on network and complex systems.

The programme is in accordance with the ECMI standards (European Consortium for Mathematics in Industry, https://ecmiindmath.org/)

Reference texts
Author Title Publishing house Year ISBN Notes
Lorenzo Pareschi, Giuseppe Toscani Interacting Multiagent Systems, Oxford University Press, 2013 Oxford University Press 2013

Examination Methods

To pass the exam the student is expected to demonstrate the ability to mathematically formalize a problem expressed in the language of another scientific discipline, using, adapting and developing the models and advanced methods discussed during the lectures. To that end the student will be assigned one or more projects to be presented orally.

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

Teaching materials e documents