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Course: 2018/2019

Modelling in Aerospace Engineering

(14168)

Study: Bachelor in Aerospace Engineering (251)

Coordinating teacher: GARCIA-VILLALBA NAVARIDAS, MANUEL

Department assigned to the subject: Department of Bioengineering and Aerospace Engineering

Type: Compulsory

ECTS Credits: 6.0 ECTS

Course: 2º

Semester: 2º

Students are expected to have completed

Calculus I and II
Linear Algebra
Physics I and II
Programming
Advanced Mathematics

Competences and skills that will be acquired and learning results. Further information on this link

Knowledge and understanding of numerical modelling applied to aerospace engineering problems

Description of contents: programme

1 Introduction to numerical modelling in aerospace engineering (structures, fluid mechanics, flight mechanics, optimization, etc)
2 Non-linear equations
3 Linear systems
4 Interpolation
5 Curve fitting
6 Numerical differentiation
7 Numerical integration
8 Numerical optimization
9 Ordinary differential equations
10 Partial differential equations

Learning activities and methodology

Theory sessions.
Problem sessions working individually and in groups.
Lab-sessions with mathematical software.

Assessment System

End-of-term exam (60%)
Continuous evaluation (40%)

The continuous evaluation may include lab sessions, group projects, exams in the computer room, etc.

The end-of-term exam may consist of a written part and/or exercises in the computer room.

In order to pass the subject, two requirements need to be met:

1) to have a MINIMUM mark of 4.0/10 in the end-of-term exam;
2) to have a MINIMUM overall mark of 5.0/10 (weighing 60% the end-of-term exam mark and 40% the mark of the continuous evaluation).

% end-of-term-examination 60
% of continuous assessment (assigments, laboratory, practicals...) 40

Basic Bibliography

J. H. Mathews, K. D. Fink. Numerical methods using MATLAB. Pearson Prentice Hall. 2004
U.M. Ascher, C. Greif. A first course in numerical methods. siam. 2011

Additional Bibliography

J. D. Hoffman. Numerical methods for engineers and scientists. CRC Press. 2001
R. Butt. Numerical Analysis using MATLAB. Jones and Bartlett. 2010

The course syllabus and the academic weekly planning may change due academic events or other reasons.