MSE Master of Science in Engineering

The Swiss engineering master's degree


Chaque module vaut 3 ECTS. Vous sélectionnez 10 modules/30 ECTS parmi les catégories suivantes:

  • 12-15 crédits ECTS en Modules technico-scientifiques (TSM)
    Les modules TSM vous transmettent une compétence technique spécifique à votre orientation et complètent les modules de spécialisation décentralisés.
  • 9-12 crédits ECTS en Bases théoriques élargies (FTP)
    Les modules FTP traitent de bases théoriques telles que les mathématiques élevées, la physique, la théorie de l’information, la chimie, etc., vous permettant d’étendre votre profondeur scientifique abstraite et de contribuer à créer le lien important entre l’abstraction et l’application dans le domaine de l’innovation.
  • 6-9 crédits ECTS en Modules contextuels (CM)
    Les modules CM vous transmettent des compétences supplémentaires dans des domaines tels que la gestion des technologies, la gestion d’entreprise, la communication, la gestion de projets, le droit des brevets et des contrats, etc.

Le descriptif de module (download pdf) contient le détail des langues pour chaque module selon les catégories suivantes:

  • leçons
  • documentation
  • examen 
Smart Sensing (TSM_SmartSens)

Sensors can be defined as smart sensors in three different manners: (a) the use of a smart design to obtain immunity from various parameters of influences in the targeted application, (b) the integration or embedding of a readout circuit and possibly also of a microcontroler in the same package or on the same substrate, (c) smart regarding its configuration and data analysis method allowing the observation of complex phenomenon (e.g. sensor fusion, sensor network).

The objective of this module is to complement the student with knowledge on modern sensor solutions that do already allow their integration in numerous key application, with its miniaturization, its reduction of costs and the improvement of its performances.

Compétences préalables

This module is aimed for students having already acquired fundamentals knowledge and experience in measuring systems, in sensors with basic physical working principles, including as well basic electronic circuits (Wheatstone bridge, differential operational amplifier, oscillators, analog filters). Notions of MEMS are welcome.

Objectifs d'apprentissage

At the end of this module, the student will be able :

  • To explain basic design principles allowing the enhancement of the performances (noise reduction, increased sensitivity, linearization,...)
  • To analyse the various stages of smart sensing systems, comprising the analog blocks, the mixed signal blocks, the digital blocks, and to explain the main types of digital signals used as well as to identify basic signal havesting and conditioning methods for its data transmission.
  • To identify and explain differences between “analog” and “digital” design and the implications of “mixed-signal” design on the same substrate
  • To design solution involving autonomous smart sensors
  • To explain the interest of advanced sensor signal or data processing methods for sensing performance optimization

Catégorie de module

As red thread for this modules, the examples of sensors in smartphone and smart watched will be used.

The content of this module will include:

  • Important principles for smart sensors for reduction of parasitic effects (2/14)
  • Electronic building blocks and Signal processing chain (4/14)
  • Calibration principles (1/14)
  • Examples of MEMS and CMOS sensors (for example: Accelerometers, Gyroscope, Compass, TOF,…) (4/14)
  • Micropower generation (1/14)
  • Sensors fusion and networks (2/14)

Méthodes d'enseignement et d'apprentissage

This

course involves theoretical presentations and practical exercises

Bibliographie

Lecture slides, references to internet resources and

books (e.g. Smart Sensor Systems: Emerging Technologies and Applications

Wiley

Gerard Meijer, Michiel Pertijs, Kofi Makinwa)

Télécharger le descriptif complet

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