MSE Master of Science in Engineering

The Swiss engineering master's degree

Jedes Modul umfasst 3 ECTS. Sie wählen insgesamt 10 Module/30 ECTS in den folgenden Modulkategorien:

  • ​​​​12-15 ECTS in Technisch-wissenschaftlichen Modulen (TSM)
    TSM-Module vermitteln Ihnen profilspezifische Fachkompetenz und ergänzen die dezentralen Vertiefungsmodule.
  • 9-12 ECTS in Erweiterten theoretischen Grundlagen (FTP)
    FTP-Module behandeln theoretische Grundlagen wie die höhere Mathematik, Physik, Informationstheorie, Chemie usw. Sie erweitern Ihre abstrakte, wissenschaftliche Tiefe und tragen dazu bei, den für die Innovation wichtigen Bogen zwischen Abstraktion und Anwendung spannen zu können.
  • 6-9 ECTS in Kontextmodulen (CM)
    CM-Module vermitteln Ihnen Zusatzkompetenzen aus Bereichen wie Technologiemanagement, Betriebswirtschaft, Kommunikation, Projektmanagement, Patentrecht, Vertragsrecht usw.

In der Modulbeschreibung (siehe: Herunterladen der vollständigen Modulbeschreibung) finden Sie die kompletten Sprachangaben je Modul, unterteilt in die folgenden Kategorien:

  • Unterricht
  • Dokumentation
  • Prüfung
Intelligent and Hyperconnected Machine (FTP_SmartMach)

Students learn and experience an advanced approach for designing an autonomous real-time process monitoring system (cyber-physical system)

Eintrittskompetenzen

 

  • General mechanics
  • IT basics 

 

Lernziele

Students learn and experience an advanced approach for designing an autonomous real-time process monitoring system.

 

 

This will allow them to experience a development project by directly integrating an expert reflection on the digital autonomy expected of automated mechanisms in the Industry 4.0 world.

 

 

 

They will also be introduced to the multidisciplinary roles that the engineer of tomorrow ill have to play in the face of the challenges of digitization and the advent of intelligent and autonomous machines.

 

 

 

This course uses as a common thread the Micro5 eco-demonstrator developed in the framework of the HES-SO thematic programs (2013-2016) and  recently equipped with an original and very advanced cognitive system.


Modulinhalt

The learning objectives are to allow the student to develop a critical sense and to experience the steps and difficulties related to defining and developing an artificial intelligence system on a production tool.

 

The following steps will be covered:

  • Positioning and role of the engineer in the digitalization of production means.
  • Definition of a cognitive mechatronic system: from machining to control program.
  • Definition of the objectives and methods of the system to be developed on the basis of a specific case (e.g., micro milling machine, wear detection, etc.).
  • Definition of the tools needed to automate a machine sensors, database, AI, and feedback).
  • Development of a cyber-physical production and management system (data selection, signal processing, feedback, real-time processing, data storage, SPC).
  • Data analysis and processing.
  • Introduction of prior knowledge into the cyber-physical system.
  • Development of a digital twin.

Lehr- und Lernmethoden

Presentation by the professors of the main concepts and themes. Illustration via concrete, applied examples. Week by week, the students will conceive a simulated smart machine.

 

Students organized in teams will apply the concepts and themes to practical use cases. The application can vary from a case study to the realization of a mini-project in team.

Vollständige Modulbeschreibung herunterladen

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