Smart Products & Solutions PT
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System Modelling & Simulation (E)

level of course unit

second cycle, Master

Learning outcomes of course unit

The graduate / the student:
* understands the basics of modelling and can apply them
* knows typical applications and advantages of simulation
* knows simulation areas and simulation software for smart products and solutions
* can create models and simulation sequences
* can interpret simulation results
* can define a smart communicating product
* is familiar with the concepts of digital twin, condition monitoring, predictive maintenance

prerequisites and co-requisites

according to admission requirements

course contents

* Introduction (fields of application, goals, uses, concept)
* Definitions (Digital Model, Digital Shadow, Digital Twin)
* Models and model building
* Building models
* Theoretical principles of simulation
* Practical implementation of simulation
* Implementation of the concept of digital twin with

recommended or required reading

Fei T., Meng Zh., Nee A.Y.C; Digital Twin Driven Smart Manufacturing; 2019
Lughofer E., Sayed-Mouchaweh M.; Predictive Maintenance in Dynamic Systems; 2019
Glöckler M.; Simulation mechatronischer Systeme: Grundlagen und technische Anwendung; Heidleberg; 2017
Nollau R.; Modellierung und Simulation technischer Systeme: Eine praxisnahe Einführung; Heidelberg; 2009

assessment methods and criteria

examination, project

language of instruction


number of ECTS credits allocated


eLearning quota in percent


course-hours-per-week (chw)


planned learning activities and teaching methods

Lecture, individual work with software, group work, presentation and discussion of tasks

semester/trimester when the course unit is delivered


name of lecturer(s)

Prof. (FH) Dipl.-Ing. Thomas Schmiedinger, PhD

course unit code


type of course unit

integrated lecture

mode of delivery