ECAM ENGINEERING PROGRAM
Combined Bachelor's / Master's Degree
General Data
Academic program ECAM ENGINEERING PROGRAM :
Type d'EC Classes
Lectures : 12h00
Tutorials : 12h00
Lab Work : 8h00
Total duration : 56h00 		Status :
Period :
Semester 6		 Education language :
English
Learning Outcomes
By the end of this course, students will be able to:
1. Acquire the fundamentals features of signal
2. Perform a spectral analysis of a signal
3. Estimate the filter coefficients from filtering specifications
4. Analyze the stability of filters
5. Analyze random signals with temporal and spectral methods
6. Apply and analyse time-frequency to any signal
7. Learn image processing techniques and apply them
8. Develop good programming practices (documentation, test, git/gitflow)
Content
-Signals: general properties and transformations (convolution…)
-Spectral analysis (DFT, FFT…)
-Sampling
-Signals and systems (stability, causality…)
-Filters (FIR, IIR)
-Random signals (autocorrelation, intercorrelation…)
-Time-frequency analysis
-Image processing
Pre-requisites / co-requisites
-Mathematics for engineers 1
-Mathematics for engineers 2
-Mathematics for engineers 3
-Mathematics for engineers 4
-Mathematics for engineers 5
-Metrology
-Computer programming
-Object-oriented programming
-Simulation and numerical calculation 1
-Simulation and numerical calculation 2
-Electronics 1 – Components and technology
-Electronics 2 – Functions and applications
-Digital design and embedded software 1
-Digital design and embedded software 2
Bibliography
Essential resources: None
Recommended resources:
Digital Processing of Signals: Theory and Practice, 3rd Edition
Assessment(s)
N° Nature Coefficient Observable objectives
1Observable objectives: mid-term exam in which students will be evaluated on their ability to analyze unknow signals and systems by applying temporal or spectral techniques.
0,31, 2, 3, 4, 5, 6, 7
2Observable objectives: labs in which students will be evaluated on their ability to define and implement signal/image processing techniques to analyze unknown signals using good coding practices.
0,31, 2, 3, 4, 5, 6, 7, 8
3Observable objectives: final exam in which students will be evaluated on their ability to analyze unknow signals, images and systems by applying temporal or spectral techniques.
0,4Written exam