M2 - Sensors, Electronics and Connected Objects

This teaching unit, dedicated to sensor manufacturing methods, is structured around a technological project, carried out in pairs, whose progress will follow the progression of the associated courses.

Each project topic will be assigned at the beginning of the teaching unit.

The proposed projects will focus on the fabrication and characterization of elementary microsystems. The main fabrication and characterization techniques will be presented in lectures, and practical work will be carried out as the project progresses.

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Acquire the theoretical and practical foundations in the field of thermal, mechanical, acoustic and optical sensors. To set up these sensors within an automated instrumentation chain.

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This course covers a wide range of knowledge from the foundations of Boolean logic to Systems-on-Chips (SoC) architecture, logical synthesis flows, processor architecture, and the basics of embedded software. VHDL, a material description language, also occupies an important place in this UE and will be studied in class and used in practical work, as well as in the framework of an "Embedded Systems" project.

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This course covers a wide range of topics ranging from fundamentals of Boolean logic to digital SoC (Systems-on-Chips) architecture, including digital design flows, computer architecture and embedded software basics. VHDL will be studied in this lecture, for both logic synthesis and modelling / simulation purposes. Labs include hands-on VHDL exercices (design of a simple stack processor), and an "Embedded system" student project makes it possible to deepen knowledge in the area.

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This course is divided into three parts, including the IOT part which will be done by an industrialist in the field.

Wireless sensors

- Different types of wirelessly connected sensors,

- Reminder on communications

(Technologies, associated electronics, how to make a choice according to the specifications)

- RFID and sensors.

- Sensor networks

(General, physical layer and hardware architecture, example of the Internet of Things).

- A mini project will be proposed.

Internet of Things (IoT) part

- Description of connected objects

- Communication protocols: BLE, Lora, NB IoT, 5G

- IoT Electronic Architecture

- Consumption management

- Definition of antenna and range of systems

- Applications (autonomous car, smart building, digital factory)

LabVIEW Part

- Summary of LabVIEW Basics

- Project management, executable generation, advanced programming (events, execution speed, memory management, waveform manipulation, etc.)

- Advanced acquisition techniques, implementation of signal processing libraries

- Internet tools (mail, web, remote control, etc.), Matscript/Matlab

- IMAQ Vision (real-time image and video acquisition, image processing)

- LabVIEW embedded systems programming

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- Know the characteristics of space and avionics radiation environments, large quantities, and the interaction between radiation and matter

- Understand and evaluate the different effects of radiation on electronic components and systems.

- Know and understand testing methods

- Understand future industrial challenges: reliability of electric and autonomous vehicles, press area, nuclear dismantling, etc.

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• Know the characteristics of space and avionics radiative environments, important quantities and radiation matter interaction
• Understand and evaluate the different effects of radiation on electronic components and systems.
• Know and understand test methods
• understand future industrial challenges: reliability of electric and autonomous vehicles, newspace, nuclear dismantling, ...

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Dependability (SDF) is the science of failures. It is committed to predicting, measuring and, more broadly, controlling them. In this course, the approach and quantitative aspects of the SdF are taught.

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Project in partnership with a research laboratory and/or a company, highlighting the scientific skills, autonomy and adaptability of the student.

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Internship of 5 to 6 months to be carried out in a research laboratory or within a company, highlighting the scientific skills, autonomy and adaptability of the student.

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Preparation for professional integration.

Teaching provided by a senior HR consultant, former HR manager of large groups, who uses her rich experience in recruitment to serve her teaching.

Pedagogical approach promoting the sharing of experience and the response to students' situations and questions.

General contributions on recruitment from A to Z, how to be more efficient in your search, vision on the approaches of final recruiters, recruitment agencies, service companies.

Simulations of recruitment interviews in small groups with personalized debriefing orchestrated by the teacher.

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TD courses in English for Specialization and English for Communication and which aims at professional autonomy in the English language.

Strengthen and consolidate the achievements of Master 1.

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