Informations générales
Number of hours
- Lectures 24.0
- Projects -
- Tutorials -
- Internship -
- Laboratory works 24.0
ECTSECTS
4.0
Goal(s)
At the end of this module, students will know:
- how to model, analyze and modify simple signals, images or data to extract useful information
- how to analyze and control a closed loop system
Responsible(s)
Content(s)
This course is divided into two distinct and complementary parts.
A first part is dedicated to the science of data, images and signals :
- classification of signals
- correlation functions and frequency representation of the signals
- convolution and signal filtering
- signal sampling
- initiation of image processing
- initiation into data processing and machine learning.
A second part is dedicated to the analysis and control of systems.
Prerequisites- integral transformations: Laplace transform, Fourier transform
- linear and time-invariant systems: time response, frequency response, transfer function
- properties of order 1 and 2 systems
Test
Calendar
The course exists in the following branches:
- Curriculum - Year 1 Engineering Bachelor Degree - Semester 5
Additional Information
Course ID : 3EU5SSY6
Course language(s): 
You can find this course among all other courses.
Bibliography
- Schaum's Outline of Signals and Systems, 4th Edition, Hwei P. Hsu
- Signals and Systems, 2d Edition, Alan V. Oppenheim & Alan S. Willsky