Course: 2024/2025

Numerical calculus in Engineering

(18498)

Requirements (Subjects that are assumed to be known)

Linear algebra, Calculus I and II

1. Basic numerical skills to solve problems in Engineering.
2. The use of MATLAB to solve numerical problems.
3. Basic solving skills to solve counting problems.
4. Be able to model, pose and solve problems of communication, sound and image technologies.

Skills and learning outcomes

Description of contents: programme

1. Introduction to Matlab and floating point arithmetic.
Polynomial interpolation. Fourier series and trigonometric polynomial.
Representation and approximation of signals.
2. Numerical integration methods.
Simple and composite rules. Adaptive quadrature.
3. Initial value problems.
The Euler, Taylor and Runge-Kutta methods.
Prediction and correction methods.
4. Boundary value problems.
Method of finite differences. Resolution of the wave equation.
Finite element method and its applications.

Learning activities and methodology

There will be weakly sessions:
- Theory sessions: the teacher will explain the fundamental concepts and results of the theory.
- Exercise/Lab sessions: the students will work in solving exercises or writing codes to solve problems proposed by the professor.

Assessment System

- % end-of-term-examination 50
- % of continuous assessment (assigments, laboratory, practicals...) 50

Calendar of Continuous assessment

Extraordinary call: regulations

Basic Bibliography

- C. Moler . Numerical Computing with MATLAB. SIAM. 2004
- D. J. Higham N. J. Higham . Matlab Guide. SIAM. 2000
- J.H. Mathews y K.D. Fink . Numerical Methods using Matlab. Prentice Hall. 1999
- T. Sauer . Numerical Analysis. Pearson. 2012

Additional Bibliography

- G. W. Stewart . Afternotes on Numerical Analysis. SIAM. 1996
- G. W. Stewart . Afternotes goes to Graduate School. SIAM. 1998
- J.M. Sanz-Serna . Diez Lecciones de Cálculo Numérico. , Universidad de Valladolid. 2010

The course syllabus may change due academic events or other reasons.