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.

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

2° Year   activated in the A.Y. 2022/2023

ModulesCreditsTAFSSD
6
B
MAT/05
Final exam
32
E
-
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
6
B
MAT/05
Final exam
32
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
1 module between the following
Between the years: 1°- 2°
1 module between the following
Between the years: 1°- 2°
Between the years: 1°- 2°
Further 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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S001097

Credits

6

Coordinator

Sisto Baldo

Language

English en

Scientific Disciplinary Sector (SSD)

MAT/05 - MATHEMATICAL ANALYSIS

The teaching is organized as follows:

Teoria 2

Credits

3

Period

Secondo semestre

Academic staff

Rossana Capuani

Teoria 1

Credits

3

Period

Secondo semestre

Learning outcomes

The course aims to give a general overview of the theoretical aspects of the most important partial differential equations arising as fundamental models in the description of main phenomena in Physics, Biology, economical/social sciences and data analysis, such as diffusion, transport, reaction, concentration, wave propagation, with a particular focus on well-posedness (i.e. existence, uniqueness, stability with respect to data). Moreover, the theoretical properties of solutions are studied in connection with numerical approximation methods (e.g. Galerkin finite dimensional approximations) which are studied and implemented in the Numerical Analysis courses.

Program

Derivation of some partial differential equations from the modelling. Partial differential equations of first order: characteristics' method, eikonal equation. Weak solutions: scalar Conservation Law, introduction to the Calculus of Variations and to the Hamilton- Jacobi equation. Linear partial differential equations of second order: classification. Laplace equation and Poisson equation: fundamental solution, harmonic functions, Green's identity, Green's function, Poisson's formula for the ball, gradient estimates, Liouville's Theorem. Elliptic equations: maximum principles, Hopf Lemma. Uniqueness theorems. Weak solutions to evolution equations of parabolic and hyperbolic type. Vector valued Sobolev spaces. A priori estimates. Existence via the Galerkin Method.

Examination Methods

Oral exam based on a Seminar (discussion of one of the topics discussed in class or of a project). The aim is to evaluate the understanding of the methods and techniques discussed in class and/or the ability to apply them to concrete situations, as well as the communicative skills of the students.

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