Checking date: 21/01/2025 09:45:34


Course: 2025/2026

Modelling in Aerospace Engineering
(14168)
Bachelor in Aerospace Engineering (Plan: 421 - Estudio: 251)


Coordinating teacher: GURKAN , CEREN

Department assigned to the subject: Aerospace Engineering Department

Type: Compulsory
ECTS Credits: 6.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
Calculus I and II Linear Algebra Physics I and II Programming Advanced Mathematics
Objectives
Knowledge and understanding of numerical modelling applied to aerospace engineering problems
Learning Outcomes
CB2: Students are able to apply their knowledge to their work or vocation in a professional manner and possess the competences usually demonstrated through the development and defence of arguments and problem solving within their field of study. CB5: Students will have developed the learning skills necessary to undertake further study with a high degree of autonomy. CG10: Ability to use computational and experimental tools for the analysis and quantification of engineering problems. CE.CRA13: Applied knowledge of: the science and technology of materials; mechanics and thermodynamics; fluid mechanics; aerodynamics and flight mechanics; navigation and air traffic systems; aerospace technology; theory of structures; air transport; economics and production; projects; environmental impact. RA2: Be able to identify aerospace engineering problems, recognise specifications, collect and interpret data and information, establish different resolution methods and select the most appropriate among the available alternatives. RA3: Be able to carry out designs in the field of aerospace vehicles, propulsion systems, navigation and air traffic control, airport infrastructures, or equipment and materials for aerospace use, which comply with the required specifications, collaborating with other engineers and graduates. RA4: Graduates will be able to carry out initial research methods approaches commensurate with their level of knowledge involving literature searches, design and execution of experiments, data interpretation, selection of the best proposal and computer simulation. RA6: Have the necessary skills for the practice of engineering in today's society.
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 Introduction to optimization 5 Interpolation 6 Curve fitting 7 Numerical differentiation 8 Numerical integration 9 Ordinary 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-examination/test 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40

Calendar of Continuous assessment


Extraordinary call: regulations
Basic Bibliography
  • J. H. Mathews, K. D. Fink. Numerical methods using MATLAB. Pearson Prentice Hall. 2004
  • J. Kiusalaas. Numerical Methods in Engineering with Matlab (3rd edition). Cambridge Univ. Press. 2016
  • 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 may change due academic events or other reasons.