MSE Master of Science in Engineering

The Swiss engineering master's degree


Ogni modulo equivale a 3 crediti ECTS. È possibile scegliere un totale di 10 moduli/30 ECTS nelle seguenti categorie: 

  • 12-15 crediti ECTS in moduli tecnico-scientifici (TSM)
    I moduli TSM trasmettono competenze tecniche specifiche del profilo e si integrano ai moduli di approfondimento decentralizzati.
  • 9-12 crediti ECTS in basi teoriche ampliate (FTP)
    I moduli FTP trattano principalmente basi teoriche come la matematica, la fisica, la teoria dell’informazione, la chimica ecc. I moduli ampliano la competenza scientifica dello studente e contribuiscono a creare un importante sinergia tra i concetti astratti e l’applicazione fondamentale per l’innovazione 
  • 6-9 crediti ECTS in moduli di contesto (CM)
    I moduli CM trasmettono competenze supplementari in settori quali gestione delle tecnologie, economia aziendale, comunicazione, gestione dei progetti, diritto dei brevetti, diritto contrattuale ecc.

La descrizione del modulo (scarica il pdf) riporta le informazioni linguistiche per ogni modulo, suddivise nelle seguenti categorie:

  • Insegnamento
  • Documentazione
  • Esame
Digitalisation in industry (TSM_DigInd)

This module offers an overview of digitization in industry from several perspectives.  

Content

Section 1: Product Lifecycle Management

  • Introduction of end-to-end process (As-Required, As-Design, As-Built, As Maintained)
  • Product lifecycle and closed loop lifecycle management
  • Development of mechatronic products (HW/SW Co-Development)
  • Generating master data for mechatronic products
  • Customizable products and modularization
  • Engineering Change management

Section 2: Digitization in Production

  • Introduction to Production Management
  • Prozessleitsysteme, Bussysteme und Protokolle, MES
  • Optimization of production based on digital tools
  • Examples and Use Cases of digitization in production
  • Lean Management and digitization

Section 3: Digitalization of Products

  • Digitization driven new Business Models
  • Sensor to information: communication and aggregation of data
  • Reliability, security and accessablity
  • Digital Twins
  • Discussion of specific Use Cases - Market & Operational Excellence

Requisiti

None.

Obiettivi di apprendimento

  • The students obtain an overview of the processes, data structures and information flows based on different product strategies inside a company. 
  • They are qualified to evaluate different approaches to organize a company regarding the product strategy, product architecture, the production processes and the deployed IT solutions. Relying on this, they are able to identify and apply optimization strategies.
  • They are familiar with state-of-the-art concepts of digitization in order to classify efficiency and transparency in production processes (industry 4.0).
  • They are familiar with the basic concepts of digitized products (Internet of Things) and how these are linked to the processes and data streams of the original company in oder to increase the range of product related services or business models.
  • They can rationally decide between "digital" and "non-digital" solution concepts.

Scarica il descrittivo completo del modulo

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