Delves into building efficient safety-critical systems, emphasizing the importance of worst-case execution times and the challenges of integrating efficiency considerations into design processes.
Covers the fundamentals of data stream processing, including tools like Apache Storm and Kafka, key concepts like event time and window operations, and the challenges of stream processing.
Explores time and safety critical applications in switch network based embedded systems, discussing functional architecture, safety design, and network integration.
Explores the use of mechanical and electronic time bases in watches, focusing on stability, division, quartz oscillators, power supply, programming techniques, and specialized integrated circuits.
Explores event time vs. processing time, stream processing operations, stream-stream joins, and handling late/out-of-order data in data stream processing.
Covers the debugging process for microcontrollers, emphasizing code structuring and signal state verification using tools like logic probes and oscilloscopes.
Covers data stream processing with Apache Kafka and Spark, including event time vs processing time, stream processing operations, and stream-stream joins.
Covers data stream processing concepts, focusing on Apache Kafka and Spark Streaming integration, event time management, and project implementation guidelines.
Explores embedded microtechnical systems through case studies in mobile robotics, sensor networks, acceleration monitoring, and vision for automatic detection.
