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.
Type D and Type F activities
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 Informatica - Enrollment from 2025/2026Nella scelta delle attività di tipo D, gli studenti dovranno tener presente che in sede di approvazione si terrà conto della coerenza delle loro scelte con il progetto formativo del loro piano di studio e dell'adeguatezza delle motivazioni eventualmente fornite.
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 3° | Control theory | D |
Riccardo Muradore
(Coordinator)
|
| 3° | Biomedical Data and Signal Processing | D |
Silvia Francesca Storti
(Coordinator)
|
| 3° | Matlab-Simulink programming | D |
Bogdan Mihai Maris
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 3° | Introduction to 3D printing | D |
Franco Fummi
(Coordinator)
|
| 3° | Python programming language | D |
Vittoria Cozza
(Coordinator)
|
| 3° | HW components design on FPGA | D |
Franco Fummi
(Coordinator)
|
| 3° | Rapid prototyping on Arduino | D |
Franco Fummi
(Coordinator)
|
| 3° | Protection of intangible assets (SW and invention)between industrial law and copyright | D |
Roberto Giacobazzi
(Coordinator)
|
| years | Modules | TAF | Teacher | |
|---|---|---|---|---|
| 1° | Subject requirements: mathematics | D |
Rossana Capuani
|
|
| 3° | The fashion lab (1 ECTS) | D |
Maria Caterina Baruffi
(Coordinator)
|
|
| 3° | LaTeX Language | D |
Enrico Gregorio
(Coordinator)
|
|
Linear Algebra (2020/2021)
Teaching code
4S00002
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
MAT/02 - ALGEBRA
Period
II semestre dal Mar 1, 2021 al Jun 11, 2021.
Learning outcomes
The course aims to introduce the basic techniques of linear algebra, which is a fundamental tool in most applications of mathematics: matrices, Gauss elimination, vector spaces, inner products, determinants, eigenvalues and eigenvectors. At the end of the course, the students shall prove of being able to: apply linear algebra techniques to the solution of problems; to apply linear algebra techniques to solution of problems; to recognize applicability of linear algebra to various situations even in not strictly mathematical contexts; to choose among the various techniques the one better suited to the problem at hand; to describe the solution of a problem employing correct terminology; to widen their knowledge starting from what they learned.
Program
Linear systems and matrices
Inverse matrices
Gauss elimination and LU decomposition
Vector spaces and linear maps
Bases and matrix representation of linear maps
Inner products and Gram-Schmidt algorithm
Determinants
Eigenvalues and eigenvectors, diagonalization of matrices
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| E. Gregorio, L. Salce | Algebra Lineare | Libreria Progetto Padova | 2005 |
Examination Methods
The written exam consists in discussing a topic from a theoretical point of view and in solving some exercises on the topics of the course.
The complete solution of the exercises leads to a grade not higher than 21/30.
Evaluation criteria:
• Knowledge and understanding: comprehension of the text of the problems and mastering of the theory behind them.
• Applying knowledge and understanding: ability to apply the general techniques to a specific problem
• Making judgements: ability to express the learned theoretical concepts in varied situations
• Communication skills: language clarity and appropriateness
• Learning skills: ability to structure a proof different from those presented during the course
