The students will gain in-depth knowledge on how to process and evaluate (sensor) measurement data. An additional focus will be put on the expanding area of sensor networks/sensor networking, generating an inherent intelligence from the combined evaluation of a multitude of independant sensors for various parameters.
The competences will enable to students are to choose appropriate data acquisition and transmission techniques and equipment, select suitable data (pre-) processing and evaluation routines and design networked measurement systems.

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data evaluation principles: absolute values, integration, slope, time-trends
uni-/multi-variate data evaluation
data merging
data correlation analysis

Kirianaki, Yurish, Shpak, Data Acquisition and Signal Processing for Smart Sensors, Wiley & Sons
Lerch, Elektrische Messtechnik: Analoge, digitale und computergestützte Verfahren, Springer
Taylor, Data Acquisition for Sensor Systems, Springer
Mahalik, Sensor Networks and Configuration: Fundamentals, Standards, Platforms, and Applications, Springer
Callaway, Wireless Sensor Networks: Architectures and Protocols, CRC Press
Stojmenovic (Ed.), Handbook of sensor networks; algorithms and architectures, Wiley-Interscience

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