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
Modelling Simulation and Optimisation (FTP_ModSim)

Modelling, simulation and optimization are fundamental to solving problems in a number of fields of science, technology and life. Students will learn to design, implement, simulate, and optimize a model of dynamic system. Simulation, the exploration of the dynamic behavior of the model in time and space, is discussed for both continuous and discrete-event systems. Simulating a model allows the evaluation of indicators of the performance of the modelled system, improving our understanding of its behavior and dynamic complexity.



Basic knowledge of 

  • Calculus (differential and difference equations)
  • Linear Algebra (vectors, matrices, change of basis, matrix inversion, computation of eigenvalues)


The main aim of the course is to understand the pervasive feedback principles that rule the world we live in. Thanks to the acquired competencies, the successful student is expected to be able to tackle problems where temporal dynamics plays a major role. The student will learn about alternative and complementary modelling paradigms: from difference and differential equations for continuous time modelling to queuing systems and discrete event systems for discrete event modelling. The student will be then able to formalise the problem thanks to a dynamical model formulation, implement a simulation of the model, and explore the space of alternative behaviours of the system in order to synthesise a possibly optimal management and control strategy.



  • Tools for systems thinking: introduction to modelling with causal loop diagrams and stock and flows diagrams
  • Models  of feedback dynamics in dynamic systems: growth and collapse, delays and oscillations
  • Elements of systems theory from linear and regular systems to non linear systems: analysis of equilibrium and stability 
  • Optimisation and control of continuous state and time systems: concept of feedback control, state estimation with the Kalman filter and Optimal Control
  • Modelling with discrete event systems: elements of queuing systems.
  • Building discrete event systems: modelling input data and analysing output of simulations
  • Simulation as an optimisation design tool: design of experiments, metamodelling  and the response surface methodology



Lehr- und Lernmethoden

Frontal lectures (3h/week) during which the students also perform hands-on exercises with modelling and simulation tools in order to acquire the key applications of the presented theory. 


  • Business Dynamics - Systems Thinking and Modeling for a Complex World, John D Sterman, McGraw-Hill, 2000. ISBN: 007238915X 
  • Introduction to Dynamic Systems, David G. Luenberger, John Wiley & Sons, 1979. ISBN: 0471025941 
  • Introduction to Discrete Event Systems - 2nd Edition. C.G. Cassandras and S. Lafortune.Springer 2008. ISBN 978-0-387-33332-8
  • Simulation Modeling and Analysis 3rd Edition, Averill M Law and W David Kelton, McGraw-Hill, 2000. ISBN 0-07-116537-1 
  • Simio and Simulation - Modeling, Analysis and Applications, W.David Kelton, Jeffrey S. Smith, David T. Sturrock, Alexander Verbraeck. McGraw-Hill. 2010. ISBN 0-07-340888-3 
  • Simulation with ARENA - 4th Edition, W. David Kelton and Randall P. Sadowski and David T. Sturrock, McGraw-Hill International Edition 2007. ISBN 0-07-110685-5

Vollständige Modulbeschreibung herunterladen