M2 - Sensors, Electronics, and Connected Devices

This course, which focuses on sensor manufacturing methods, is structured around a technology project carried out in pairs, the progress of which will follow the progression of the associated classes.

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

The proposed projects will focus on the fabrication and characterization of basic microsystems. The main fabrication and characterization techniques will be presented through lectures, and lab sessions will facilitate the project’s progress.

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Acquire the theoretical and practical fundamentals in the field of thermal, mechanical, acoustic, and optical sensors. Integrate these sensors into an automated instrumentation system.

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This course covers a broad range of topics, from the fundamentals of Boolean logic to the architecture of systems-on-chip (SoC), including logic synthesis flows, processor architecture, and the basics of embedded software. VHDL, a hardware description language, also plays a significant role in this course unit and will be studied in lectures and used in lab sessions, as well as in the context of an “Embedded Systems” project.

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This course covers a wide range of topics, from the fundamentals of Boolean logic to digital SoC (Systems-on-Chip) architecture, including digital design flows, computer architecture, and the basics of embedded software. VHDL will be covered in this course for both logic synthesis and modeling/simulation purposes. Lab sessions include hands-on VHDL exercises (design of a simple stack processor), and a student project on “Embedded Systems” allows students to deepen their knowledge in this area.

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This course is divided into three parts, including the IoT section, which will be taught by an industry professional in the field.

Wireless Sensors Section

- Various types of wireless sensors,

- Reminder about communications

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

- RFID and sensors.

- Sensor networks

(Overview, 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 devices

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

- IoT Electronic Architecture

- Energy consumption management

- Defining the antenna and the 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 data 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, the relevant 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: the reliability of electric and autonomous vehicles, press facilities, nuclear decommissioning, etc.

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• Understand the characteristics of space and avionics radiative environments, key parameters, and the interaction between radiation and matter
• Understand and evaluate the various effects of radiation on electronic components and systems.
• Know and understand test methods
• understand future industrial challenges: the reliability of electric and autonomous vehicles, NewSpace, nuclear decommissioning, …

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Reliability (SdF) is the science of failures. It focuses on predicting, measuring, and, more broadly, controlling them. This course covers the methodology and quantitative aspects of reliability.

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A project conducted in partnership with a research laboratory and/or a company, highlighting the student's scientific skills, independence, and adaptability.

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

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Preparation for entering the workforce.

The course is taught by a senior HR consultant, a former HR manager at major corporations, who draws on her extensive recruitment experience in her teaching.

A teaching approach that encourages the sharing of experiences and addresses students' situations and questions.

General insights on recruitment from A to Z, how to conduct a more effective job search, and perspectives on the approaches taken by end-hiring companies, recruitment firms, and staffing agencies.

Small-group mock job interviews with personalized debriefing led by the instructor.

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A tutorial course in specialized English and communicative English designed to foster professional autonomy in the English language.

To reinforce and consolidate the knowledge gained in the first year of the master's program.

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