Digital Twin & Simulation (E) (WP)*
Niveau
Master
Learning outcomes of the courses/module
The participants:
The participants:
* Understand the basics of modeling and can apply these
* Know typical applications and advantages of simulations
* Know simulation areas and simulation software for smart products and solutions
* Can create models and simulation processes
* Can interpret simulation results
* Can define a smart communicating product
* Are familiar with the concepts of digital twin, condition monitoring, predictive maintenance
The participants:
* Understand the basics of modeling and can apply these
* Know typical applications and advantages of simulations
* Know simulation areas and simulation software for smart products and solutions
* Can create models and simulation processes
* Can interpret simulation results
* Can define a smart communicating product
* Are familiar with the concepts of digital twin, condition monitoring, predictive maintenance
Prerequisites for the course
None
Course content
Basics and modeling:
* Introduction to digital twins, their importance and areas of application
* Communication of the theoretical principles and methods of modeling
Simulation and software:
* Overview of simulation techniques and their typical applications
* Getting to know various simulation software and practical exercises
Smart products and solutions:
* Creating and analyzing models for smart, communicating products
* Integration of digital twins into IoT systems and their advantages
In-depth concepts and applications:
* Introduction to advanced topics such as condition monitoring and predictive maintenance
* Discussion about the role of digital twins in future technology development.
Practical project:
* Planning and implementing your own digital twin project to apply what you have learned
* Introduction to digital twins, their importance and areas of application
* Communication of the theoretical principles and methods of modeling
Simulation and software:
* Overview of simulation techniques and their typical applications
* Getting to know various simulation software and practical exercises
Smart products and solutions:
* Creating and analyzing models for smart, communicating products
* Integration of digital twins into IoT systems and their advantages
In-depth concepts and applications:
* Introduction to advanced topics such as condition monitoring and predictive maintenance
* Discussion about the role of digital twins in future technology development.
Practical project:
* Planning and implementing your own digital twin project to apply what you have learned
Recommended specialist literature
* Nath, S. V. (2021). Building Industrial Digital Twins : Design, Develop, and Deploy Digital Twin Solutions for Real-World Industries Using Azure Digital Twins.
* Zhang, Y. (2024). Digital Twin Architectures, Networks, and Applications (1st ed. 2024).
* Blaschke, F. (2024). Implementation and Benefits of Digital Twin on Decision Making and Data Quality Management. (1st ed.).
Digital Twin Technology. (2023). IntechOpen.
* Tao, F., Zhang, M., & Nee, A. Y. C. (2019). Digital twin driven smart manufacturing.
* Zhang, Y. (2024). Digital Twin Architectures, Networks, and Applications (1st ed. 2024).
* Blaschke, F. (2024). Implementation and Benefits of Digital Twin on Decision Making and Data Quality Management. (1st ed.).
Digital Twin Technology. (2023). IntechOpen.
* Tao, F., Zhang, M., & Nee, A. Y. C. (2019). Digital twin driven smart manufacturing.
Assessment methods and criteria
Seminar paper
Language
English
Number of ECTS credits awarded
4
Semester hours per week
Planned teaching and learning method
Lecture, Group Work, Discusison
Semester/trimester in which the course/module is offered
3