Digital Twin Simulation (elective course)
Niveau
master’s degree program
Learning outcomes of the courses/module
The participants:
• understand the fundamentals of modeling and are able to apply them
• are familiar with typical applications and benefits of simulations
• are familiar with simulation domains and simulation software for smart products and solutions
• are able to create models and simulation workflows
• are able to interpret simulation results
• are able to define a smart connected product
• are familiar with the concepts of the digital twin, condition monitoring, and predictive maintenance
• understand the fundamentals of modeling and are able to apply them
• are familiar with typical applications and benefits of simulations
• are familiar with simulation domains and simulation software for smart products and solutions
• are able to create models and simulation workflows
• are able to interpret simulation results
• are able to define a smart connected product
• are familiar with the concepts of the digital twin, condition monitoring, and predictive maintenance
Prerequisites for the course
none
Course content
Fundamentals and Modeling:
-Introduction to digital twins, their significance, and areas of application
-Presentation of the theoretical foundations and methods of modeling
Simulation and Software:
-Overview of simulation techniques and their typical applications
-Introduction to various simulation software tools and practical exercises
Smart Products and Solutions:
-Development and analysis of models for smart, connected products
-Integration of digital twins into IoT systems and their benefits
Advanced Concepts and Applications:
-Introduction to advanced topics such as condition monitoring and predictive maintenance
-Discussion of the role of digital twins in future technological development
Practical Project:
-Planning and implementation of an individual digital twin project to apply the knowledge acquired
-Introduction to digital twins, their significance, and areas of application
-Presentation of the theoretical foundations and methods of modeling
Simulation and Software:
-Overview of simulation techniques and their typical applications
-Introduction to various simulation software tools and practical exercises
Smart Products and Solutions:
-Development and analysis of models for smart, connected products
-Integration of digital twins into IoT systems and their benefits
Advanced Concepts and Applications:
-Introduction to advanced topics such as condition monitoring and predictive maintenance
-Discussion of the role of digital twins in future technological development
Practical Project:
-Planning and implementation of an individual digital twin project to apply the knowledge acquired
Recommended specialist literature
* Pfeffer J.; Produkt-Entwicklung: Lean & Agile; München; 2019
* Schröder A.; Agile Produktentwicklung: Schneller zur Innovation – erfolgreicher am Markt; 2018
* Schröder A.; Agile Produktentwicklung: Schneller zur Innovation – erfolgreicher am Markt; 2018
Assessment methods and criteria
Written exam or seminar thesis
Language
English
Number of ECTS credits awarded
4
Semester hours per week
Planned teaching and learning method
Lecture, group work, presentation, and discussion of assignments
Semester/trimester in which the course/module is offered
3