Algebra

Code:

EIC0003

Acronym:

ALGE

Keywords
Classification	Keyword
OFICIAL	Mathematics

Instance: 2017/2018 - 1S

Active?	Yes
Responsible unit:	Mathematics Section
Course/CS Responsible:	Master in Informatics and Computing Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEIC	159	Syllabus since 2009/2010	1	-	4,5	56	121,5

Teaching language

Suitable for English-speaking students

Objectives

SPECIFIC AIMS: This discipline has two main objectives: the promotion of logical reasoning and methods of analysis and the introduction and theoretical development of a set of concepts that will be fundamental to support the study of other disciplines along this course of studies.

Learning outcomes and competences

 LEARNING OUTCOMES: Learning Outcomes: At the end of the semester, students should be: 1. capable of analysing and solving systems of linear equations; 2. acquainted with basic matrix operations and its properties; 3. capable of defining a non-singular matrix and be acquainted with the properties of an inverse matrix and its calculation; 4. capable of defining the determinant of a matrix and be acquainted with its properties and calculation; 5. capable of defining vector space, vector subspace and Euclidian space; 6. capable of defining linear combination of vectors, linear independence/dependence vectors and subspace; 7. capable of defining and determining a base and the dimension of a vector space; be capable of obtaining the components of a vector in relation with its base; 8. capable of defining a linear transformation and calculate and characterize its kernel; be acquainted with algebraic operations and define and calculate inverse transformation; 9. capable of using a matrix to represent a linear transformation and operate linear transformations using matrix algebra; 10. capable of defining a change of base matrix and apply it to problems of change of base that involve elements of a vector space and linear transformations; 11. capable of defining similar matrices and be acquainted with their properties; 12. capable of calculating eigenvalues and eigenvectors of linear transformations and to be acquainted with their properties, and if possible identify a diagonal matrix representation for a linear transformation.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Basic knowledge of systems of equations and vector algebra

Program

Definition of vector space Vector subspaces Linear dependence and independence Bases and dimension Components Inner product Euclidian spaces Norms and orthogonality Linear spaces of matrices Product of matrices Transposed matrix Inverse matrix Square matrix Orthogonal matrix Similar matrices Change of bases matrices Determinants Condensation method and Laplace theorem Inversion of matrices using a determinant Systems of linear equations Gaussian method of elimination Cramer’s rule Linear transformation Kernel Algebraic operations with linear transformations Injective linear transformations Matrix representation of a linear transformation Isomorphism between linear transformations and matrices Eigenvalues and eigenvectors of linear transformations Characteristic polynomial Conditions for the existence of diagonal matrix representation and linear transformation

Mandatory literature

Anton, Howard; Elementary linear algebra. ISBN: 0-471-44902-4
Apostol, Tom M.; Calculus. ISBN: 84-291-5001-3
Barbosa, José Augusto Trigo; Noções sobre matrizes e sistemas de equações lineares. ISBN: 972-752-069-3 972-752-065-0
J.A. Trigo Barbosa; ALGA - Apontamentos Teórico-Práticos
J.A. Trigo Barbosa, J.M.A. César de Sá, A.J. Mendes Ferreira; ALGA - Exercícios Práticos
José Trigo Barbosa; Noções sobre Geometria Analítica e Análise Matemática, 2017

Complementary Bibliography

Luís, Gregório; Álgebra linear. ISBN: 972-9241-05-8
Ribeiro, Carlos Alberto Silva; Álgebra linear. ISBN: 972-8298-82-X
Monteiro, António; Álgebra linear e geometria analítica. ISBN: 972-8298-66-8

Teaching methods and learning activities

Theoretical classes: detailed exposition of the program of the discipline illustrated by application examples. Theoretical-practice classes: application of the theoretical concepts in the resolution of several exercises that can be found in the proposed literature.

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Exame	100,00
Participação presencial	0,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	66,00
Frequência das aulas	56,00
Total:	122,00

Eligibility for exams

According to General Evaluation Rules of FEUP

Calculation formula of final grade

Students have to attend to three mini-tests. Final mark will be based on the average mark of the three exams. The dates of the mini-test and the final exam have not yet been set. The exams are closed book exams.

Examinations or Special Assignments

Students have to attend to three mini-tests. Final mark will be based on the average mark of the three exams. The dates of the mini-test and the final exam have not yet been set. The exams are closed book exams.

Internship work/project

Not applicable

Special assessment (TE, DA, ...)

Although working students are exempt from classes, they must do the mini-tests

Classification improvement

After the normal exam season, students who have failed one or more mini-tests, can make another mini-test(s), at the "recurso" test. 

Observations

Students are not allowed to use a graphics calculator on the exam.