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 Informatica - Enrollment from 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.

2° Year  activated in the A.Y. 2018/2019

ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
6
B
ING-INF/05
12
B
ING-INF/05

3° Year  activated in the A.Y. 2019/2020

ModulesCreditsTAFSSD
12
B
ING-INF/05
One course to be chosen among the following
6
B
INF/01
Training
6
F
-
Final exam
6
E
-
activated in the A.Y. 2018/2019
ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
6
B
ING-INF/05
12
B
ING-INF/05
activated in the A.Y. 2019/2020
ModulesCreditsTAFSSD
12
B
ING-INF/05
One course to be chosen among the following
6
B
INF/01
Training
6
F
-
Final exam
6
E
-

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

4S00002

Coordinator

Enrico Gregorio

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

MAT/02 - ALGEBRA

Period

II sem. dal Mar 1, 2018 al Jun 15, 2018.

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

Reference texts
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

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