-
Presentation
Presentation
The present curricular unit belongs to the curricular plan of this 1st cycle degree. The main goal of this curricular unit is to provide students with fundamental knowledge in the context of algebra and mathematical and logical reasoning, that are essential in learning the contents of other subsequent curricular units. It is intended that, through various theoretical and practical strategies, students can apply and solidify the knowledge gained throughout the semester on vector spaces, matrices, determinants, systems of linear equations, eigenvectors and eigenvalues.
-
Class from course
Class from course
-
Degree | Semesters | ECTS
Degree | Semesters | ECTS
Bachelor | Semestral | 6
-
Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
-
Code
Code
ULP287-61
-
Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
-
Professional Internship
Professional Internship
Não
-
Syllabus
Syllabus
MATRIXES: Classification, properties and operations. Characteristics of a matrix; Condensation; Inverse of a square matrix; Resolution of matrix equations. DETERMINANTS: Definitions and properties; Calculation of determinants by Sarrus's rule, Laplace's theorem and triangulation method; Obtain the inverse by the adjunct. SYSTEMS OF EQUATIONS: Classification and resolution. Gaussian Method and Cramer's Rule. VECTOR SPACES: Vectors and operations. Definition and properties; Linear combination; Linear dependence and independence; Vector subspace; Set of generators; Base and dimension of a vector space; Change of base. EIGENVALUES AND EIGENVECTORS: Definition, properties and their determination. Diagonalization. Quadratic form. Applications.
-
Objectives
Objectives
At the end of this course, students should have acquired knowledge about: - Operate with matrices to solve equations and calculate the matrix inverse of a matrix. - Calculate the value of the determinant of a matrix. - Solve a system of equations by applying the knowledge matrix. - Analyze a system of equations using the knowledge matrix and on vector spaces, assessing their possible solution. - Characterize real linear spaces, mastering the concept of linear dependence and independence of vectors, a basis to characterize and define the coordinates of a given vector basis. - Determine and work eigenvectors and eigenvalues.
-
Teaching methodologies and assessment
Teaching methodologies and assessment
This UC will use some active methodologies that promote greater student involvement in pedagogical activities, such as Problem Based Learning in a collaborative environment. In terms of digital technologies, Moodle will be used.
-
References
References
- Giraldes, E., Fernandes, V., Smith, M. (2003), Curso de Álgebra Linear e Geometria Analítica, McGraw Hill, Portugal. - Kreyszig, E. (2011), Advanced Engineering Mathematics (tenth edition), McGraw Hill, United States of America. - Diversos textos de apoio a fornecer ao longo das sessões.
-
Office Hours
Office Hours
-
Mobility
Mobility
No