Cod: 21002
Department: DCET
Scientific area: Mathematics
Total working hours: 156
Total contact time: 26

In this curricular unit study the general concepts and properties of: matrices, determinants, values and vectors themselves, and finite-dimensional vector spaces on the body of the real and complexes.

Vector spaces
Linear maps

Recognize the role and importance of Linear Algebra in the broader context of mathematical methods applied to Computer Science;
Identify key techniques, methodologies and tools of Linear Algebra;
Apply Linear Algebra techniques to model and solve problems, namely knowing how to use matrices, determinants, eigenvalues and eigenvectors

Matrices and Linear Equations;
Determinants and Linear Equations;
Vector Spaces, Eigenvalues and Eigenvectors;
Linear Transformations and Matrices.

CABRAL, Isabel; PERDIGÃO, Cecília; SAIAGO, Carlos, Álgebra Linear, Escolar Editora, 2018,
ISBN 978-972-592-538-6
26 videos disponíveis em

E-learning (fully online).

Continuous assessment is privileged: 2 or 3 digital written documents (e-folios) during the semester (40%) and a presence-based final exam (p-folio) in the end of the semester (60%). In due time, students can alternatively choose to perform one final presence-based exam (100%).