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 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:

2° Year   activated in the A.Y. 2017/2018

ModulesCreditsTAFSSD
6
A
MAT/02
6
B
MAT/03
6
C
SECS-P/01
6
C
SECS-P/01
6
B
MAT/06

3° Year   activated in the A.Y. 2018/2019

ModulesCreditsTAFSSD
6
C
SECS-P/05
activated in the A.Y. 2017/2018
ModulesCreditsTAFSSD
6
A
MAT/02
6
B
MAT/03
6
C
SECS-P/01
6
C
SECS-P/01
6
B
MAT/06
activated in the A.Y. 2018/2019
ModulesCreditsTAFSSD
6
C
SECS-P/05
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°
Between the years: 1°- 2°- 3°
Altre attività formative
6
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

4S00253

Credits

6

Coordinator

Enrico Gregorio

Language

Italian

Scientific Disciplinary Sector (SSD)

MAT/02 - ALGEBRA

To show the organization of the course that includes this module, follow this link:  Course organization

The teaching is organized as follows:

Teoria (seconda parte)

Credits

4

Period

I sem.

Academic staff

Lidia Angeleri,Davide Rinaldi

Esercitazioni

Credits

1

Period

I sem.

Academic staff

Davide Rinaldi

Teoria (prima parte)
The activity is given by Linear Algebra of the course: Bachelor's degree in Bioinformatics

Credits

1

Period

I sem.

Academic staff

Enrico Gregorio

Learning outcomes

First of all, the students are introduced to the language and formal reasoning required for the study of higher mathematics. Furthermore, the main notions and techniques of linear algebra and matrix theory are presented, focussing both on theoretical and computational aspects. Moreover, the course provides an introduction to planar and spatial analytic geometry, within the projective, affine, and euclidean setting. Finally, the main properties of conics will be discussed. Both analytical (coordinates, matrices) and synthetic tools will be employed.

Program

Groups, fields. The field of complex numbers. Matrices, matrix operations and their properties. Determinant and rank of a matrix. Inverse matrix. Systems of linear equations. The method of Gaussian elimination. Vector spaces, subspaces, bases, dimension. Linear maps.

Bibliography

Reference texts
Activity Author Title Publishing house Year ISBN Notes
Esercitazioni E.Gregorio, L.Salce Algebra Lineare Libreria Progetto Padova 2005
Esercitazioni Candilera,Bertapelle Algebra lineare e primi elementi di Geometria Mc Graw Hill   9788838661891
Esercitazioni M. Abate Geometria Mc Graw Hill   9788838607226
Esercitazioni M. Abate, C. de Fabritiis Geometria analitica con elementi di algebra lineare McGraw Hill 2010 9788838665899
Teoria (prima parte) E. Gregorio, L. Salce Algebra Lineare Libreria Progetto Padova 2005

Examination Methods

The exam consists of:
- a joint written examination on the module Linear Algebra and the module Elements of Geometry,
- a joint oral examination on both modules.

Only students who have passed the written examination will be admitted to the oral examination.

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