General Information
The further education and training measures are offered either in-person or digitally (hybrid). The physical venues are the event rooms of the University of Regensburg and the University of Bayreuth, in compliance with hygiene measures. Live online events will be held using a video conferencing software program.
Should contact restrictions, event bans, or similar limitations arise due to the ongoing Corona pandemic that prevent the in-person dates from being held, these will be held in whole or in part as live online events.
In total, the further education and training measures include 5 modules.
Scope: Per module unit, there are 8 teaching units (approx. 09:00-17:00) including break(s); attendance is mandatory (Mon-Thu).
Structure: Theory transfer, practical and trial part, knowledge test (30 min).
The success of knowledge transfer to the participants will be assessed for each individual course module through a written exam lasting 30 minutes on the respective training day. Passing 4 out of 4 written exams for the course is required to receive a successful certificate of participation upon completion.
Modul 1: Principles of IIoT
- Theoretical and practical principles
- Sensor hardware and RFID technology
- Network and communication
- IoT infrastructure and Edge Computing
Modul 2: Data Management and Visual Analytics
- IoT data infrastructures
- Data recording and data storage
- Design and setup of databases for IoT
- Theory and practice of Visual Analytics
- Location-independent visualization of data in real-time
Modul 3: Data and Process Analytics
- Methods, technologies, and systems for data analysis
- Automated real-time analysis
- Complex event processing and alarms
- Machine learning methods and Process Mining
Modul 4: IoT-based Processes & Security
- Principles of process management
- Modeling of processes in BPMN
- Location-independent task assignment using wearables
- Control and monitoring of processes IoT Security Cyber Range
Modul 5: Implementation of the Learning Factory
- Application in Learning Factory Industry 4.0
- Implementation of real operational processes
- Lowering the inhibition threshold for introduction in your own company