Digital Twin & Simulation (WP)*
Niveau
Master
Learning outcomes of the courses/module
The students:
* 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
* 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
Project Work and presentation
Language
English
Number of ECTS credits awarded
4
Share of e-learning in %
15
Semester hours per week
2.0
Planned teaching and learning method
Lecture, group work, presentation and discussion of tasks
Semester/trimester in which the course/module is offered
3
Name of lecturer
Prof. (FH) DI Thomas Schmiedinger, PHD
Academic year
Key figure of the course/module
WPF.7
Type of course/module
integrated lecture
Type of course
Compulsory