| Prerequisites and co-requisites |
- Basic electronics knowledge
- Programming basics
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| Course content |
- Information theory, sampling, A / D, D / A conversion
- Frequency / time transformations
- Transfer functions and digital filters (low / band / high pass, Kalman, ...)
- Signal analysis and interpretation
- Measurement theory
- Behavior of sensors and actuators in reality and options for compensation (e.g. for drifts during measurements, wheel slip)
- Sensor fusion
- Semantic connection, interpretation and use of recorded data and context awareness
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| Learning outcomes |
The students
- understand the meaning of the fundamental statements of information theory and the resulting framework conditions for the practical processing of sensor data.
- master the conversion of digital to analog data vice versa as well as its behavior in the time and frequency domains.
- know different filters and understand their implications for signal data.
- can analyze the behavior of sensors and actuators in reality and implement appropriate compensation approaches in practice.
- understand the relationship between different signal sources and can implement context awareness in a system on the basis of a semantic connection.
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| Planned learning activities and teaching methods |
- Lectures
- Practical exercises in the laboratory
- Evaluation with the help of mathematical libraries and tools
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| Assessment methods and criteria |
Electronic exam with the libraries used. |
| Comment |
None |
| Recommended or required reading |
- León, Fernando Puente; Jäkel, Holger (2019): Signale und Systeme. 7th extended Edition. Berlin: De Gruyter Oldenbourg.
- Lovett, Tom; O’Neill, Eamonn (2014): Mobile Context Awareness. 2012th Ed. Springer.
- Rocha, Ricardo Couto Antunes da; Endler, Markus (2012): Context Management for Distributed and Dynamic Context-Aware Computing. 2012th Ed. London ; New York: Springer.
- Ulaby, Fawwaz T; Yagle, Andrew E. (2018): Signals and Systems: Theory and Applications. Michigan Publishing. Available at: URL: https://ss2.eecs.umich.edu/ (Accessed on: 24 September 2021).
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| Mode of delivery (face-to-face, distance learning) |
Face-to-face event |