392214 Sensorik (V) (SoSe 2024)

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In der Vorlesung Sensorik werden die grundlegenden Verfahren zur Wandlung physikalischer und chemischer Größen in elektrische Signale eingeführt. Behandelt werden die Analyse der theoretischen Leistungsfähigkeit und die integrationsgerechte Umsetzung derartiger Prinzipien. Ferner wird auf die anwendungstechnischen Gesichtspunkte von Sensoren und Schaltungen zur Messung elektromechanischer Größen in mechatronischen Systemen eingegangen.

Kompetenzen
Ein vertieftes Verständnis sowie praktisches Kennenlernen von Anforderungen, Konzepten und Realisierungsmethoden für intelligente Sensorsysteme.

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Subject assignments

Module Course Requirements  
39-M-Inf-AI-adv Advanced Artificial Intelligence Advanced Artificial Intelligence: Seminar 1 Study requirement
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Advanced Artificial Intelligence: Seminar 2 Graded examination
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39-M-Inf-AI-adv-foc Advanced Artificial Intelligence (focus) Advanced Artificial Intelligence (focus): Vorlesung Graded examination
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39-M-Inf-AI-app Applied Artificial Intelligence Applied Artificial Intelligence: Vorlesung Student information
- Graded examination Student information
39-M-Inf-AI-app-foc Applied Artificial Intelligence (focus) Applied Artificial Intelligence (focus): Vorlesung Student information
- Graded examination Student information
39-M-Inf-ASE-adv Advanced Autonomous Systems Engineering Advanced Autonomous Systems Engineering: Seminar 1 Study requirement
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Advanced Autonomous Systems Engineering: Seminar 2 Graded examination
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39-M-Inf-ASE-adv-foc Advanced Autonomous Systems Engineering (focus) Advanced Autonomous Systems Engineering (focus): Vorlesung Graded examination
Student information
39-M-Inf-ASE-app Applied Autonomous Systems Engineering Applied Autonomous Systems Engineering: Vorlesung Student information
- Graded examination Student information
39-M-Inf-S Sensorik Sensorik Ungraded examination
Graded examination
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Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Studieren ab 50    

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Registered number: 24
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SS2024_392214@ekvv.uni-bielefeld.de
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24 Students to be reached directly via email
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Last update basic details/teaching staff:
Monday, February 19, 2024 
Last update times:
Monday, February 19, 2024 
Last update rooms:
Monday, February 19, 2024 
Type(s) / SWS (hours per week per semester)
V / 2
Department
Faculty of Technology
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450076977