4 ECTS credits
110 h study time
Offer 1 with catalog number 4019801ENR for all students in the 2nd semester at a (E) Master - advanced level.
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.
The final grade is composed based on the following categories:
Oral Exam determines 50% of the final mark.
Practical Exam determines 50% of the final mark.
Within the Oral Exam category, the following assignments need to be completed:
Within the Practical Exam category, the following assignments need to be completed:
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:
This offer is part of the following study plans:
Master of Electrical Engineering: Standaard traject BRUFACE J