4 ECTS credits
110 u studietijd
Aanbieding 1 met studiegidsnummer 4019801ENR voor alle studenten in het 2e semester met een verdiepend master niveau.
Engineers and scientists build models to understand, describe, predict and control the behaviour of complex dynamical processes. In order to construct these models it is necessary to extract the unknown parameters of these mathematical models from (noisy) measurements. In this course we first learn how to measure the characteristics of a dynamic system (Spectral analysis, frequency response function measurements). Next, we explain how experimental data can be turned into good mathematical models. Each concept is illustrated by a simple example. Besides a sound theoretical basis, we will provide the students also with hand on experience in the labs.
Prior knowledge
Course Material
An independent problem solving and critical attitude are main skills for an engineer and are therefore mandatory for any item treated in this course.
To successfully complete the course, the student is expected to
This course contributes to the following programme outcomes of the Master in Electronics and Information Technology Engineering:
The Master in Engineering Sciences has in-depth knowledge and understanding of
3. the advanced methods and theories to schematize and model complex problems or processes
The Master in Engineering Sciences can
4. reformulate complex engineering problems in order to solve them (simplifying assumptions, reducing complexity)
6. correctly report on research or design results in the form of a technical report or in the form of a scientific paper
9. work in an industrial environment with attention to safety, quality assurance, communication and reporting
11. think critically about and evaluate projects, systems and processes, particularly when based on incomplete, contradictory and/or redundant information
The Master in Engineering Sciences has
12. a creative, problem-solving, result-driven and evidence-based attitude, aiming at innovation and applicability in industry and society
13. a critical attitude towards one's own results and those of others
16. an attitude of life-long learning as needed for the future development of his/her career
The Master in Electronics and Information Technology Engineering:
17. Has an active knowledge of the theory and applications of electronics, information and communication technology, from component up to system level.
19. Has a broad overview of the role of electronics, informatics and telecommunications in industry, business and society.
20. Can analyze, specify, design, implement, test and evaluate individual electronic devices, components and algorithms, for signal-processing, communication and complex systems.
21. Is able to model, simulate, measure and control electronic components and physical phenomena.
De beoordeling bestaat uit volgende opdrachtcategorieën:
Examen Mondeling bepaalt 50% van het eindcijfer
Examen Praktijk bepaalt 50% van het eindcijfer
Binnen de categorie Examen Mondeling dient men volgende opdrachten af te werken:
Binnen de categorie Examen Praktijk dient men volgende opdrachten af te werken:
The grade in first session of one or more of the exam parts (Theory measurements, Theory Identification, Exam on the labs) may be transferred to second session if all following conditions are met:
Deze aanbieding maakt deel uit van de volgende studieplannen:
Master in de ingenieurswetenschappen: werktuigkunde-elektrotechniek: lucht- en ruimtevaart
Master in de ingenieurswetenschappen: werktuigkunde-elektrotechniek: voertuigtechnologie en transport
Master in de ingenieurswetenschappen: werktuigkunde-elektrotechniek: werktuigbouwkunde
Master in de ingenieurswetenschappen: werktuigkunde-elektrotechniek: energie
Master of Electrical Engineering: Standaard traject BRUFACE J (enkel aangeboden in het Engels)