Linear Algebra and Analytic Geometry
Objectives
The student is supposed acquire basic knowledge on Linear Algebra (vide Program) and that, in learning process, logical reasoning and critical mind are developed.
General characterization
Code
11505
Credits
6.0
Responsible teacher
António José Mesquita da Cunha Machado Malheiro
Hours
Weekly  5
Total  70
Teaching language
Português
Prerequisites
The student must be familiar with mathematics taught at preuniversity level in Portugal (science area).
Bibliography
ISABEL CABRAL, CECÍLIA PERDIGÃO, CARLOS SAIAGO, Álgebra Linear, Escolar Editora, 2018 (6th Edition).
T. S. Blyth e E. F. Robertson, Essential student algebra. Volume two: Matrices and Vector Spaces, Chapman and Hall, 1986.
T. S. Blyth e E. F. Robertson, Basic Linear Algebra (Springer undergraduate mathematics series), Springer, 1998.
S. J. Leon, Linear Algebra with Applications, 6th Edition, Prentice Hall, 2002.
J. V. Carvalho, Álgebra Linear e Geometria Analítica, texto de curso ministrado na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Departamento de Matemática da FCT/UNL, 2000. http://ferrari.dmat.fct.unl.pt/personal/jvc/alga2000.html
E. GIRALDES, V. H. FERNANDES e M. P. M. SMITH, Álgebra Linear e Geometria Analítica, McGrawHill de Portugal, 1995.
Teaching method
Theoretical classes and pratical classes.
Evaluation method
EVALUATION RULES
LINEAR ALGEBRA AND ANALYTICAL GEOMETRY (ALGA)
2022/23
1. ATTENDANCE
To obtain approval for the Curricular Unit (UC) of ALGA, the student must have attendance. In this semester, attendance is obtained through weekly forms, during the class period, and made available through the Moodle platform (called Attendance form). Each form will be available in Moodle for one week. Failure to complete more than three forms, within the established period, will result in not obtaining attendance at the UC.
2. CONTINUOUS EVALUATION
The continuous evaluation consists of carrying out, during the academic period, two inperson and/or distance tests on the Moodle platform, each one quoted from 0 to 20 values (rounded to one decimal place).
All students who, at the time of the test, are enrolled in the ALGA Curricular Unit can take any test. It is also mandatory to register for the test at CLIP.
3. APPROVAL AND FINAL CLASSIFICATION
Let T1 and T2 be the classifications obtained in the 1st and 2nd tests, respectively, rounded to decimals.
The student''s final grade, CF, is obtained by rounding up to the units of (0.4 × T1 + 0.6 × T2), except if the CF is greater than 15, in which case the student may choose to keep the final grade of 15 or take a complementary test for grade defense. The final classification, after the defense of the note, will not exceed the classification obtained in the tests. In the defense of the grade, the student''s performance during classes and in the activities developed in moodle will be taken into account. Approval to the UC occurs whenever CF ≥ 10. If CF is below 10 the student fails.
4. EXAM
All students enrolled in the UC who obtained attendance can take the exam  see point 1.
In this case, the exam grade (NE) replaces the test''s grade to obtain the final grade, CF. The final grade, CF, of the student is obtained by rounding to the units of NE, except if the CF is greater than 15, in which case the student can choose between getting a final grade of 15 or taking a complementary test to defend the grade. The final classification, after the defense of the note, will not exceed the classification obtained in the exam. In the defense of the grade, the student''s performance during classes and in the activities developed in moodle will be taken into account. Approval to the UC occurs whenever CF ≥ 10. If CF is below 10 the student fails.
5. GRADE IMPROVEMENT
All students wishing to present themselves with a grade improvement must comply with the legal registration formalities for this purpose (information at the Academic Services). The classification of the improvement exam is obtained as indicated in 4. If this result is higher than the one previously obtained in the course, it will be taken as the final grade. Otherwise, there is no improvement in the final grade.
6. TESTS AND EXAMS
In order for a student to take any of the tests (tests or exams), he/she must register with CLIP at the place and dates mentioned for this purpose.
Tests and exams will preferably be in person, and in exceptional situations, they may be carried out at a distance if this is possible. In distance tests, video surveillance means using proctoring tools will be used.
On the day of the exam, the student will have to:

Identify themselves with Identity Card or Citizen Card;

Submit a “Test Notebook” (with the header not filled in)  for facetoface tests only.
7. FINAL NOTES
It is up to the person responsible for the UC to resolve situations that are not provided for in these rules and may resort to consulting other FCT NOVA bodies for aspects where this may be justified.
The regulation was elaborated in accordance with the norms established in the FCT NOVA evaluation regulation available here.
Subject matter
LINEAR ALGEBRA AND ANALYTIC GEOMETRY
1 – Matrices: Definitions and basic results. Rowechelon form. Matrices and elementary row/column operations. Characterization of invertible matrices and determination of the inverse.
2 – Systems of Linear Equations: Equivalent systems. Matricial representation of a system of linear equations. Resolution and discution of systems.
3 – Determinants: Definition and properties. Determinant of the product. Classical adjoint (adjugate) of a matrix. Computation of the inverse from the adjugate.
4 – Vector Spaces: Definition and properties. Subspaces. Intersection and sum of subspaces and the relation of their dimensions. Linear combinations and subspace generated by a system of vectors. Principal results about linear dependence/independence of a system of vectors. Bases. Extension to a basis of a linearly independent system of vectors.
5 – Linear Transformations: Properties. Dimension theorem and other fundamental results. Matrix of a linear transformation and of composition of transformations. Matrices and changing of bases.
6 – Eigenvalues and Eigenvectors: Eigenvalues and eigenvectors of a matrix/linear operator. Eigenspaces. Algebraic and geometric multiplicity. Diagonalisable matrices/linear operators.
7  Inner, Vector and Mixed Products: Definitions and properties in R^{3}.
8 – Analytic Geometry: Cartesian representations of the straight line and the plane. Metric and no metric problems.
Programs
Programs where the course is taught:
 Bachelor in Biomedical Engineering
 Bachelor in Civil Engineering
 Bachelor in Materials Engineering
 Bachelor in Micro and Nanotechnology Engineering
 Bachelor in Environmental Engineering
 Bachelor in Industrial Engineering and Management
 Bachelor in Electrical and Computer Engineering
 Bachelor in Engineering Physics
 Geological Engineering
 Bachelor in Computer Science and Engineering
 Bachelor in Mechanical Engineering
 Bachelor in Chemical and Biological Engineering