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.

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 in Matematica applicata - Enrollment from 2025/2026

The educational activities of type D are the student's choice, those of type F are additional knowledge useful for entering the world of work (internships, transversal skills, project works, etc.). According to the Didactic Regulations of the Course, some activities can be chosen and entered independently in the booklet, others must be approved by a special committee to verify their consistency with the study plan.

The following activities can cover type D or F training activities.

1. Teachings delivered at the University of Verona.

Include the teachings listed below and/or in the Catalog of Teachings (which can also be filtered by language of delivery through Advanced Search).

Booklet entry mode: if the teaching is included among those listed below, the student can enter it independently during the period in which the curriculum is open; otherwise, the student must make a request to the Secretariat, sending to carriere.scienze@ateneo.univr.it the form in the period indicated.

2. CLA certificate or language equivalency.

In addition to those required by the curriculum, the following are recognized for those matriculated from A.Y. 2021/2022:

English language: 3 CFU are recognized for each level of proficiency above that required by the course of study (if not already recognized in the previous course of study).

Other languages and Italian for foreigners: 3 cfu are recognized for each proficiency level starting from A2 (if not already recognized in the previous study cycle).

These cfu will be recognized, up to a maximum of 6 cfu in total, of type F if the teaching plan allows it, or of type D. Additional elective credits for language knowledge may be recognized only if consistent with the student's educational project and if adequately motivated. Those enrolled until A.Y. 2020/2021 should consult the information found here.

Way of inclusion in the booklet: request the certificate or equivalence from CLA and send it to the Student Secretariat - Careers for the inclusion of the exam in the career, by email: carriere.scienze@ateneo.univr.it

3. Soft skills

Discover the training paths promoted by the University's TALC - Teaching and learning center, intended for students regularly enrolled in the academic year of course delivery https://talc.univr.it/it/competenze-trasversali Booklet entry mode: the teaching is not expected to be included in the curriculum. Only upon obtaining theOpen Badge will the booklet CFUs be automatically validated. The registration of CFUs in career is not instantaneous, but there will be some technical time to wait.

4. Contamination lab

The Contamination Lab Verona (CLab Verona) is an experiential pathway with modules dedicated to innovation and business culture that offers the opportunity to work in teams with students from all courses of study to solve challenges launched by companies and institutions. The pathway allows students to receive 6 CFUs in the D or F area. Find out about the challenges: https://www.univr.it/clabverona

PLEASE NOTE: To be eligible to take any teaching activity, including electives, you must be enrolled in the course year in which it is offered. Therefore, it is recommended that undergraduates in the December and April sessions DO NOT undertake extracurricular activities of the new academic year, in which they are not enrolled, since these degree sessions are valid concerning the previous academic year. Therefore, for activities carried out in an academic year in which they are not enrolled, no recognition of CFU can be given.

5. Internship/internship period

In addition to the CFU stipulated in the curriculum (check carefully what is indicated on the Academic Regulations) here you can find information on how to activate the internship. Check in the regulations which activities can be Type D and which can be Type F.

Please also note that for internships activated from October 1, 2024, it will be possible to recognize excess hours in terms of Type D credits, limited only to internship experiences carried out at host institutions outside the University.

PROCEDURE FOR RECOGNIZING WORK ACTIVITY AS INTERNSHIP CREDITS

As per the resolution of the Teaching College of Mathematics and Data Science No. 4 -24/25, the student who intends to have hours of work activity recognized as internship credits, before the start of the activity, is required to send to the e-mail address of the student secretariat and in copy knowledge to the student practices committee (paolo.daipra@univr.it, luca.dipersio@univr.it, barbara.gaudenzi@univr.it) explicit request.

The request should specify the type of activity, name of the company and place of work, and hours/credits for which recognition is being sought. The activity must have taken place during the years of enrollment in the course of study to be recognizable. Once the student practices committee has ascertained that the current work activity is consistent with the course objectives, the student will be promptly notified, with the secretary's office as a copy.

At the end of the stipulated work period, the student sends the following documentation to the student secretariat: a detailed final report that is forwarded to the committee for final approval (signed by the student and a company contact person); a statement from the legal representative of the company/entity and/or documentation demonstrating the type of professional activity and the hourly commitment to it.

The student secretary's office will forward the documentation received to the student practices committee and record the CFUs (taf F and any additional taf D credits) decided by the committee.

Academic year:
Semester 1  From 10/1/24 To 1/31/25
years Modules TAF Teacher
1° 2° 3° Algorithms D Roberto Segala (Coordinator)
1° 2° 3° Basis of general chemistry D Silvia Ruggieri
1° 2° 3° Genetics D Massimo Delledonne (Coordinator)
1° 2° 3° Introduction to quantum mechanics for quantum computing D Claudia Daffara (Coordinator)
1° 2° 3° Python programming language [English edition] D Carlo Combi (Coordinator)
1° 2° 3° APP REACT PLANNING D Graziano Pravadelli (Coordinator)
Semester 2 From 3/3/25 To 6/13/25
years Modules TAF Teacher
1° 2° 3° Algebraic Geometry F Rosanna Davison Laking (Coordinator)
1° 2° 3° Algorithms D Roberto Segala (Coordinator)
1° 2° 3° LaTeX Language D Enrico Gregorio (Coordinator)
1° 2° 3° Python programming language [Edizione in italiano] D Carlo Combi (Coordinator)
1° 2° 3° Organization Studies D Serena Cubico (Coordinator)
1° 2° 3° Programming Challanges D Romeo Rizzi (Coordinator)
1° 2° 3° Tools for development of applications of virtual reality and mixed D Andrea Giachetti (Coordinator)
1° 2° 3° Protection of intangible assets (SW and invention)between industrial law and copyright D Mila Dalla Preda (Coordinator)
List of courses with unassigned period
years Modules TAF Teacher
Subject requirements: mathematics D Franco Zivcovich (Coordinator)

Teaching code

4S004793

Coordinator

Elena Gaburro

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

MAT/08 - NUMERICAL ANALYSIS

Period

Semester 1  dal Oct 1, 2024 al Jan 31, 2025.

Courses Single

Authorized

Learning objectives

The course will discuss, from both the analytic and computational points of view, the numerical solution of Mathematical problems such as: non linear systems, linear systems, matrix eigenvalues, interpolation and approximation, Gaussian quadrature. The objective therefore is to expand on the material introduced in Calcolo Numerico I and to introduce new and more sophisticated solution algorithms. In particular, we will present techniques that are fundamental for important modern problems of Applied Mathematics such as that of high dimensional datasets (SVD and PCoA) and optimization (conjugate gradient method). The course has a Laboratory component where the methods studied will be implemented using the MATLAB programming platform (using either the official Matlab from Mathworks or else the open source version GNU OCTAVE). At the end of the course the student will be expected to demonstrate that s/he has attained a level of competence in the computational and computer aspects of the course subject, as well as the ability to recognize which algorithms are appropriate for basic and advanced problems of numerical analysis.

Prerequisites and basic notions

Analysis 1, Linear algebra, differential calculus in one and several variables, integral calculus, basic methods of numerical calculus.
(It is possible to attend the course even without having passed all of the first-year exams, but it is necessary to keep in mind that the lecture modalities will not be adapted for any reason to those who have not passed the exams of Mathematical Analysis 1, Linear Algebra and elements of Geometry, Computer Programming witl lab, Physics 1 and Numerical analysis 1 with laboratory or equivalent exams.)

Program

The aim of this course is the analysis of numerical methods for the approximate solving of complex problems in applied mathematics.
The following topics will be covered in the course
- Methods for solving linear systems (classical iterative methods, conjugate gradient, QR and SVD factorizations, overdetermined systems)
- Methods for finding zeros of functions and systems (fixed point and Newton iterations for systems)
- Methods for finding eigenvalues and eigenvectors with application to google page ranking
- Interpolation methods
- Numerical quadrature methods (e.g. Gaussian formulas)
- Elements of machine learning (application of SVD)
- Optimization methods
The methods developed in the lecture will be further investigated, implemented on a computer and tested on various examples.
Note. The order of topics is subject to change.

Bibliography

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

Theoretical lectures in the classroom and numerous lectures dedicated to the implementation, motivation and discussion of the numerical methods subject of the course.
MATLAB is required.

Learning assessment procedures

The examination consists of
A) a laboratory test in which the students will be asked to implement some programs in MATLAB, motivate them and comment on the obtained results
B) an oral examination of theoretical knowledge and skills
Test A is passed when a mark greater or equal to 18 is obtained.
You are only admitted to test B when you pass test A.

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

The examination aims to ascertain that the student possesses knowledge and skills in the field of numerical analysis, numerical methods and their programming.

Criteria for the composition of the final grade

The grade will be obtained by taking the average of the laboratory test and the oral test.

Exam language

Italiano