M2 - Sensors, Electronics, and Connected Objects

This teaching unit, devoted to sensor manufacturing methods, is structured around a technology project, carried out in pairs, the progress of which 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 manufacture and characterization of elementary microsystems. The main manufacturing and characterization techniques will be presented through lectures and practical work will enable the project to progress.

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Acquire theoretical and practical knowledge in the field of thermal, mechanical, acoustic, and optical sensors. Implement these sensors within an automated instrumentation chain.

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This course covers a wide range of topics, from the fundamentals of Boolean logic to the architecture of systems-on-chips (SoCs), 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 work, 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 modeling/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 taught by an industry professional.

Wireless sensors section

- Different types of wirelessly connected sensors,

- reminder about communications

(Technologies, related electronics, how to make a choice based on specifications)

- RFID and sensors.

- Sensor networks

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

- A mini project will be proposed.

Internet of Things (IoT) section

- Description of connected objects

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

- IoT electronic architecture

- Consumption management

- Definition of the antenna and range of the systems

- Applications (autonomous vehicles, smart buildings, digital factories)

LabVIEW section

- 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 (email, web, remote control, etc.), Matscript/Matlab

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

- LabVIEW embedded systems programming

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- Understand the characteristics of radiation environments in space and avionics, significant quantities, and the interaction between radiation and matter.

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

- Know and understand testing methods

- Understanding future industrial challenges: reliability of electric and autonomous vehicles, press space, nuclear decommissioning, 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, new space, nuclear dismantling, etc.

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Reliability Engineering (RE) is the science of failures. It focuses on predicting, measuring, and, more broadly, controlling them. This course teaches the approach and quantitative aspects of RE.

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

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5- to 6-month internship to be completed in a research laboratory or within a company, highlighting the student's scientific skills, independence, and adaptability.

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Preparation for professional integration.

Teaching provided by a senior HR consultant, former HR manager for large corporations, who draws on her extensive recruitment experience in her teaching.

Teaching approach that encourages sharing experiences and responding to students' situations and questions.

General information on recruitment from A to Z, how to be more effective in your search, insight into the approaches of final recruiters, recruitment agencies, and service companies.

Simulated job interviews in small groups with personalized debriefing led by the instructor.

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Tutorial courses in specialized English and English for communication, aimed at developing professional autonomy in the English language.

Reinforce and consolidate the knowledge acquired in Master 1.

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