Code |
11846
|
Year |
1
|
Semester |
S2
|
ECTS Credits |
6
|
Workload |
TP(60H)
|
Scientific area |
Mathematics
|
Entry requirements |
Knowledge of Mathematics A (Secondary Education of the Science and Technology Course).
|
Mode of delivery |
Face-to-face
|
Work placements |
Not applicable
|
Learning outcomes |
The main goal of this curricular unit (CU) is to provide an introduction to the basic concepts and techniques in Linear Algebra and Numerical Analysis. At the end of this CU, the student will be able to - understand fundamental properties of matrices, including determinants and inverse matrices and solve systems of linear equations using direct methods; - describe and analyse numerical methods for solving non-linear equations, systems of linear equations and of non-linear equations, methods for polynomail interpolation, methods for approximating integrals and methods for approximating solutions to simple ordinary differential equations (initial value problems); - apply the methods discussed to solve mathematical problems in biotechnology.
|
Syllabus |
Chapter I: Vectors and Matrices Types of matrices, matrix and vector operations, elementary row operations, row-echelon form, rank of a matrix, Gauss and Gauss-Jordan methods for solving systems of linear equations, inverse matrix, calculation of matrix inverse by the Gaussian elimination method. Chapter II: Determinants Definition, properties, Cramer's rule, calculation of matrix inverse using determinants. Chapter III: Preliminaries on computing Elementary concepts, errors and convergence. Chapter IV: Nonlinear equations Bisection, false position, Newton-Raphson, secant and fixed-point methods. Chapter V: Systems of linear and of nonlinear equations Jacobi and Gauss-Seidel methods, Newton-Raphson method. Chapter VI: Interpolation Lagrange polynomial and Newton polynomial Chapter VII: Numerical differentiation and integration Trapezium rule and Simpson's rule Chapter VIII: ODEs: initial value problems Euler, Taylor and Runge-Kutta methods
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Main Bibliography |
• Cabral, I., Perdigão, C., Saiago, C. , Álgebra Linear, Escolar Editora, 2018. • Lipschutz, S., Álgebra Linear, Schaum's Outline Series. McGraw-Hill, 1994. • Magalhães, L.T., Álgebra Linear como Introdução à Matemática Aplicada, Texto Editora, 1993. • Burden, R.L. & Faires, J.D., Numerical Analysis, 9th Ed., Brooks/Cole, Cengage Learning, 2011. • Pina, H., Métodos Numéricos, Mc Graw-Hill, 2010. • Valença, M.R., Métodos Numéricos, INIC, 1988.
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Language |
Portuguese. Tutorial support is available in English.
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