Language: English

Recommendations:

• Successful completion of the module Grundbegriffe der Informatik [IN1INGI]
• Successful completion of the module Programmieren [IN1INPROG]

• Basics and foundations of Industry 4.0 and IoT
• Distributed systems
• Real-time and non-real-time systems
• Software and safety
• Security in Industry 4.0
• Middleware: definition and concepts
• Software technologies

1.    Data Distribution Service (DDS)
2.    OPC Unified Architecture (OPC UA)

• Extensibility
• Data collection, storage, and analytics

1.     Information modeling
2.    Parameter identification
3.    Big data in Industry 4.0
4.    Condition monitoring
5.    Machine learning

• Human-centered developments and user interfaces
• Application examples

1.     Automated guided vehicles
2.    Distributed machine control
3.    Automated warehouses
4.    Industrial process optimization
5.    Home automation, assistants, and robots

Workload:

(2 SWS + 1,5 x 2 SWS) x 15 + 15 h Prüfungsvorbereitung = 90 h = 3 ECTS

Course objectives:

• Successful participants will be able to deploy, compare, and review basic software implementations, approaches, and concepts in the domain of Industry 4.0.
• Successful participants will understand concepts of middleware implementations and will be able to extend those with little to no supervision.
• Successful participants will learn to implement and deploy safety and security technologies in the domain of Industry 4.0.
• Successful participants will understand concepts of machine learning, data analytics, and optimization of technical processes in the domain of Industry 4.0.