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.

2° Year  activated in the A.Y. 2012/2013

ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
6
B
ING-INF/05
12
B
ING-INF/05
Un insegnamento a scelta tra i seguenti:

3° Year  activated in the A.Y. 2013/2014

ModulesCreditsTAFSSD
12
B
INF/01
Un insegnamento a scelta tra i seguenti:
Prova finale
6
E
-
activated in the A.Y. 2012/2013
ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
6
B
ING-INF/05
12
B
ING-INF/05
Un insegnamento a scelta tra i seguenti:
activated in the A.Y. 2013/2014
ModulesCreditsTAFSSD
12
B
INF/01
Un insegnamento a scelta tra i seguenti:
Prova finale
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

Also offered in courses:

Language

Italian

Scientific Disciplinary Sector (SSD)

MAT/02 - ALGEBRA

Period

I semestre dal Oct 3, 2011 al Jan 31, 2012.

Learning outcomes

Introduction to the fundaments of Linear Algebra with some applications.

Program

* Matrices and linear systems: matrices, operations on matrices, systems of linear equations, Gauss elimination, inverses of matrices, LU factorization.
* Vector spaces: definition and examples, subspaces, generators. Linearly dependent and independent vectors, bases, dimension.
* Linear maps and associated matrices: composition of linear maps and matrix multiplication, change of basis, kernel and image of a linear map, rank of matrices, dimension formula.
* Inner products and orthogonality: inner product of vectors, orthogonal and orthonormal bases, orthogonal projections, Gram-Schmidt algorithm.
* Canonical forms: eigenvalues and eigenvectors, characteristic polynomial, algebraic and geometric multiplicity, diagonalizability criteria.

Examination Methods

Written test

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