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AAT C4 ​

Description ​

Propose solutions that best respond to the negative environmental or social implications over a solution's lifespan.

Progression ​

  • M1 ():

  • M2 ():

  • M3 ():

AAv List (25) ​

  • 01_XDEDM-AAv7 (15H): At the end of the course, the student will be able to choose a manufacturing process knowing its limits.

  • 02_XCELE-AAv4 (10H): At the end of the 2nd semester, the student will be able to evaluate the cost of energy consumption of an industrial electrical installation and to size the elements to be add to it so as not to suffer penalties from the energy supplier.

  • 04_XBPRG-AAv3 (14H): At the end of this course, fourth semester students will be able to develop their own structured or enumerated types, add an implementation to them and practice the encapsulation approach.

  • 04_XBPRG-AAv4 (14H): At the end of this course, fourth semester students will be able to wisely use values ​​or references (shared or exclusive) as parameters and results of functions created in Rust.

  • 05_XASHI-AAv2 (20H): At the end of the human sciences course in semester 5, the student must be able to fully design a feasible action that responds to a societal or environmental need previously identified and to define the conditions for its success.

  • 06_XDSIG-AAv3 (13H): At the end of the semester, the student must be able to analyse and design a digitisation-reconstruction chain for an analogue DC signal. The digital signal processing concepts to be put into practice are in particular : (1) Shannon's theorem on the choice of sampling frequency (oversampling and undersampling) and the spectral properties derived from it; (2) Issues on the choice of anti-aliasing filter parameters to be able to minimise overlap noise; (3) The issues involved in choosing the quantisation method and the number of digitiser bits to maximise the signal-to-noise ratio; (4) The issues involved in choosing the parameters of the low-pass reconstruction filter (interpolator filter) to correctly reproduce the analogue DC signal.

  • 06_XDSIG-AAv4 (16H): At the end of the semester, the student must be able to know and master the determining factors (maximum frequency, frequency resolution and separation dynamics) in a digital spectral analysis (FFT digital tool: discrete-time and discrete-frequency spectral calculation). The use of digital spectral analysis requires appropriate choices to be made regarding the sampling frequency, the duration of signal observation, the type of apodisation window and the addition of zeros to the signal (zero-padding technique).

  • 06_XDSIG-AAv5 (12H): At the end of the semester, the student must be able to carry out a complete analysis (time response, frequency response, stability study, number of coefficients in the recurrence equation, number of delay elements, fluence graph, digital sensitivity and calculation noise) of a digital filter of the RIF or RII type using discrete convolution and the Z transfer function.

  • 06_XDSIG-AAv3 (13H): At the end of the semester, the student must be able to analyse and design a digitisation-reconstruction chain for an analogue DC signal. The digital signal processing concepts to be put into practice are in particular : (1) Shannon's theorem on the choice of sampling frequency (oversampling and undersampling) and the spectral properties derived from it; (2) Issues on the choice of anti-aliasing filter parameters to be able to minimise overlap noise; (3) The issues involved in choosing the quantisation method and the number of digitiser bits to maximise the signal-to-noise ratio; (4) The issues involved in choosing the parameters of the low-pass reconstruction filter (interpolator filter) to correctly reproduce the analogue DC signal.

  • 06_XDSIG-AAv4 (16H): At the end of the semester, the student must be able to know and master the determining factors (maximum frequency, frequency resolution and separation dynamics) in a digital spectral analysis (FFT digital tool: discrete-time and discrete-frequency spectral calculation). The use of digital spectral analysis requires appropriate choices to be made regarding the sampling frequency, the duration of signal observation, the type of apodisation window and the addition of zeros to the signal (zero-padding technique).

  • 06_XDSIG-AAv5 (12H): At the end of the semester, the student must be able to carry out a complete analysis (time response, frequency response, stability study, number of coefficients in the recurrence equation, number of delay elements, fluence graph, digital sensitivity and calculation noise) of a digital filter of the RIF or RII type using discrete convolution and the Z transfer function.

  • 05AODPRC-AAv7 (10H): At the end of the programming course, a fifth semester student will develop their own structured or enumerated types, add an implementation to them and practice the encapsulation approach.

  • 05AODPRC-AAv8 (14H): At the end of the programming course, a fifth semester student will use values or references (shared or exclusive) wisely as parameters and results of functions performed.

  • 06POASHI-AAv2 (10H): At the end of the humanities course, students must be able to design in full or present a feasible action that meets a previously identified societal or environmental need and define the conditions for its success.

  • 06POESIN-AAv3 (9H): At the end of the semester, students should be able to analyse and design a digitisation-reconstruction chain for continuous analogue signals. The digital signal processing concepts to be put into practice are in particular: (1) Shannon's theorem on the choice of sampling frequency (oversampling and undersampling) and the spectral properties derived from it; (2) The issues involved in choosing the parameters of the anti-aliasing filter to be able to minimise the overlapping noise; (3) The issues involved in choosing the parameters of the low-pass reconstruction filter (interpolator filter) to correctly reconstruct the analogue DC signal.

  • 06POESIN-AAv4 (10H): At the end of the semester, the student must be able to know and master the determining factors (maximum frequency, frequency resolution and separation dynamics) in a digital spectral analysis (FFT digital tool: discrete-time and discrete-frequency spectral calculation). The use of digital spectral analysis requires appropriate choices to be made regarding sampling frequency, signal observation time and the addition of zeros to the signal (zero-padding technique).

  • 06POESIN-AAv5 (12H): At the end of the semester, the student must be able to carry out a complete analysis (time response, frequency response, stability study, number of coefficients in the recurrence equation, number of delay elements, fluence graph, digital sensitivity and calculation noise) of a digital filter of the RIF or RII type using discrete convolution and the Z transfer function. This analysis should lead to an appropriate and argued choice with regard to the signal to be filtered.

  • 07_X-ST7-AAv4 (40H): At the end of the technician internship, the student will be able to independently and rigorously test the solution by following the experimental protocols proposed by the management. They will be able to produce their results in a synthetic and judicious manner by validating performance and evaluating the gains and losses of the choice.

  • 07_X-SEN-AAv4 (30H): At the end of semester 9, the student will be able to structure an embedded project in such a way as to ensure optimal operating security.

  • 07_X-SEN-AAv5 (30H): At the end of semester 7, the student will be able to deploy a secure communication solution to transmit and exploit data from sensors in the cloud.

  • 08_SHES-AAV_QQE_optionnel_5_Conception_robuste (18H): The student will explain the different stages of setting up an experimental plan. They will also be able to implement robust design analysis using Taguchi's signal-to-noise ratio and quality loss functions. He will be able to carry out a complete robust design process using crossed experimental designs.

  • 08_X-ST8-AAV5 (300H): At the end of the assistant engineer internship, the student will be able to implement a design process for a technical system, in the fields of electronics , IT and/or mechatronics. The student will document all design stages while respecting company standards in order to ensure that the work is taken over by another employee.

  • 09_X-PER-AAV1 (20H): At the end of the PER module, students must be able to integrate environmental and societal issues into the study of an engineering solution and to use it correctly. and relevance of impact indicators (carbon footprint, LCA, social indicators, etc.)

  • 09_O-IAS-AAv5 (20H): At the end of the module, students will be able to analyze and evaluate the performance of an AI system, and to identify and take into account potential biases and limitations.

  • 10_X-S10-AAv4 (300H): At the end of the engineering internship, the student is able to propose a design process for a technical system, in the fields of electronics, IT and/or mechatronics, meeting given specifications and the environmental and societal issues imposed by the sponsor and/or the company. This design will be documented in compliance with company standards and will allow work to be resumed by another employee.