SYST0022-1

Duration

26h Th, 26h Pr, 15h Proj.

Number of credits

	Bachelor of Science (BSc) in Engineering	5 crédits
	Master MSc. in Engineering Physics, research focus	5 crédits
	Master MSc. in Biomedical Engineering, professional focus	5 crédits
	Master MSc. in Data Science, professional focus	5 crédits
	Master Msc. in Energy Engineering, professional focus in Energy Conversion	5 crédits
	Master MSc. in Electromechanical Engineering, professional focus in energetics (Inscriptions closes)	5 crédits
	Master MSc. in Data Science and Engineering, professional focus	5 crédits
	Master Msc. in computer science and engineering, professional focus in intelligent systems	5 crédits
	Master Msc. in computer science and engineering, professional focus in intelligent systems (double diplômation avec HEC)	5 crédits
	Master Msc. in Mechanical engineering, professional focus in mechatronics	5 crédits
	Master Msc. in Energy Engineering, professional focus in Networks	5 crédits

Lecturer

Guillaume Drion, Pierre Sacré

Language(s) of instruction

English language

Organisation and examination

Teaching in the second semester

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

The course provides an introduction to the main tools of linear systems design in the different fields of engineering.

The following topics are addressed:
- Introduction to feedback systems and feedforward systems;
- Discrete signals and systems, LTI systems, convolution;
- System analysis in the z-domain;
- Design and properties of digital filters, FIR and IIR;
- From filters to controllers (input/output frequency domain);
- From filters to controllers (state-space domain);
- Discrete Fourier Transform.

Learning outcomes of the learning unit

At the end of the course, the student will master the basic theoretical concepts of digital filters and feedback systems and will be able to use the corresponding tools in both abstract mathematical contexts and in simple applications from the engineering world.

Prerequisite knowledge and skills

The course relies on knowledge of concepts in modeling and analysis of linear systems.

Planned learning activities and teaching methods

The course includes ex-cathedra lectures, exercise sessions, and projects.

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course

Course materials and recommended or required readings

The course material will be made available as the semester progresses.

Additional references:
- Åström, Karl J., and Richard M. Murray. Feedback Systems: An Introduction for Scientists and Engineers. Princeton: Princeton University Press, 2008.
- Manolakis, Dimitris G., and Vinay K. Ingle. Applied Digital Signal Processing: Theory and Practice. New York: Cambridge University Press, 2011.

Exam(s) in session

Any session

- In-person

written exam

Written work / report

Further information:

The assessment is composed of two grades: a grade for the projects (approximately 20% of the final grade) and a grade for the written exam covering theory and exercises (approximately 80% of the final grade).

The projects will be subject to a single evaluation during the year and the grade obtained during the year will be used in determining the average grade for the first session and the second session (if applicable).

Work placement(s)

Organisational remarks and main changes to the course

Contacts

Lecturers: Guillaume Drion, Pierre Sacré.
Webpage: https://people.montefiore.uliege.be/sacre/SYST0022/.

Linear Systems Design