392214 Sensorik (V) (SoSe 2026)

Contents, comment

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.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Di 10:15-11:45 CITEC 1.016 13.04.-24.07.2026

Subject assignments

Module Course Requirements  
39-M-Inf-AI-adv Advanced Artificial Intelligence Advanced Artificial Intelligence Advanced Artificial Intelligence: Seminar 1 Study requirement
Student information
Advanced Artificial Intelligence: Seminar 2 Graded examination
Student information
39-M-Inf-AI-app Applied Artificial Intelligence Applied Artificial Intelligence Applied Artificial Intelligence: Vorlesung Student information
- Graded examination Student information
39-M-Inf-ASE-adv Advanced Autonomous Systems Engineering Advanced Autonomous Systems Engineering Advanced Autonomous Systems Engineering: Seminar 1 Study requirement
Student information
Advanced Autonomous Systems Engineering: Seminar 2 Graded examination
Student information
39-M-Inf-ASE-app Applied Autonomous Systems Engineering Applied Autonomous Systems Engineering Applied Autonomous Systems Engineering: Vorlesung Student information
- Graded examination Student information
39-M-Inf-RAT Robotics, Automation and Technical Informatics (Basis) Robotik, Automatisierung und Technische Informatik (Basis) Einführende Vorlesung Student information
- Graded examination Student information
39-M-Inf-S Sensorics Sensorik Sensorik Ungraded examination
Graded examination
Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Studieren ab 50    

Bestehen der mündlichen Prüfung

No eLearning offering available
Address:
SS2026_392214@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_652046845@ekvv.uni-bielefeld.de
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Tuesday, December 9, 2025 
Last update times:
Tuesday, December 9, 2025 
Last update rooms:
Tuesday, December 9, 2025 
Type(s) / SWS (hours per week per semester)
lecture (V) / 2
Department
Faculty of Technology
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=652046845
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
652046845