Matrices
Determinants
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, 2021,
ISBN 978-972-592-573-7
26 vídeos disponíveis em
https://www.math.tecnico.ulisboa.pt/~fcosta/videos_algebra_linear.html
 
 

E-learning (fully online).

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