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.
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%).