SIGNALEN EN SYSTEMEN
 
Lectured in 2nd year Master in Industrial Sciences in Construction Science
2nd year Bachelor in Industrial Sciences in Chemistry
2nd year Bachelor in Industrial Sciences in Electronics-ICT
2nd year Bachelor in Industrial Sciences in Computer Science
2nd year Bachelor in Industrial Sciences in Electromechanics
2nd year Bachelor in Industrial Sciences in Electromechanics
Theory [A] 36.0
Exercises [B] 24.0
Training and projects [C] 0.0
Studytime [D] 170
Studypoints [E] 6
Level introductory
Language of instruction Dutch
Lecturer Paul RAES
Reference IBIWBO02A00003
 
Key words
signals, systems, frequency reponse, fourier analysis, fourier transform, z transform, convolution

Objectives
At the end of the course the students should be able to describe simplified electrical, electronic, mechanical, physical, economical, chemical (and other) systems and their signal processing properties on an abstract and generalized level, using specific mathematical methods.

Topics
- Description of signals and systems
        in continuous and discrete time
        analog and digital
        in time and frequency domain
        and the conversions.
- LTI-systems (continuous and discrete): response, convolution, eigenfunctions
- z- transform
- Fourier analysis and transform
- state space.

Prerequisites
Mathematics (complex numbers and functios, linear algebra, differential equations, series), physics (electricity, mechanics (dynamics)).

Final Objectives
To be able to analyse signal processing systems.
To be able to analyse, design and make abstractions at system level.

Materials used
- powerpoint slides
- Schaum's outline of Signals and Systems (Mc Graw Hill, Hwei P. Hsu, Hwel P.Hse)
- lab and homework texts
- free internet software

Study costs
12€

Study guidance
- with the electronic learning environment
- formative tests and assessments
- extra explanation on demand

Teaching Methods
A combination of ex cathedra teaching, exercises, laboratory sessions and homeworks (self-study).

Assessment
A written exam for the theoretical part, closed book, with multiple choise and open questions.
Permanent evaluation for exercises and labs.
A weighted average is used to compute the final score for a training item. However, if a student gains a score of 7 or less on 20 on one of the different courses (parts of training items) , he proves that his skill for certain subcompetencies is insufficient. Consequently, one can turn from the arithmetical calculation of the final assignment of quotas of a training item and the new marks can be awarded on consensus. Of course, the examiners can judge that the arithmetic regulations mentioned in the study index card can also be used for 7 or less.
For each deviation a detailed motivation ought to be drawn up. In that case one should point out that the skill for this subcompetency is proven to be insufficient, if the student didn’t pass the partim that is considered to be important for certain subcompetencies.

Lecturer(s)
responsible: Paul Raes