M2 - Sensors, Electronics and Connected Objects

This teaching unit, devoted to the methods of manufacturing sensors, is structured around a technological project, conducted in pairs, whose progress will follow the progression of the associated courses.

Each project topic will be assigned at the beginning of the course

The proposed projects will focus on the fabrication and characterization of elementary microsystems. The main fabrication and characterization techniques will be presented through lectures and practical work will allow the project to progress.

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Acquire the theoretical and practical bases in the field of thermal, mechanical, acoustic and optical sensors. 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 the architecture of Systems-on-Chips (SoC), including logic synthesis flows, processor architecture and the basics of embedded software. VHDL, a hardware description language, also plays an important role in this course and will be studied in class and used in practical exercises, as well as in 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 exercises (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 of the domain.

Wireless sensors part

- Different types of wireless connected sensors,

- reminder on communications

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

- RFID and sensors.

- Sensor networks

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

- A mini project will be proposed.

Internet of Things (IoT) part

- Description of the connected objects

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

- Electronic architecture of the IoT

- Consumption management

- Antenna and system range definition

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

LabVIEW part

- Summary of the basics of LabVIEW

- 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 the radiative environments of space and avionics, the important quantities and the interaction between radiation and matter

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

- Know and understand the testing methods

- understand future industrial challenges: reliability of electric and autonomous vehicles, press space, nuclear dismantling, ...

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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 is the science of failures. It focuses on predicting, measuring and, more broadly, controlling them. In this course, the approach and the quantitative aspects of FS are taught.

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

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5 to 6 month internship in a research laboratory or in a company, emphasizing the scientific skills, autonomy and adaptability of the student.

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Preparation for professional integration.

The course is taught by a senior HR consultant and former HRM of large groups, who brings to the teaching her rich experience in recruitment.

A pedagogical approach that favors the sharing of experience and the response to students' situations and questions.

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

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

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Specialized English and English for Communication courses aimed at professional autonomy in the English language.

Reinforce and consolidate the knowledge acquired in Master 1.

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