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Sensor Systems

Module name (EN):
Name of module in study programme. It should be precise and clear.
Sensor Systems
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
International Project Semester, Bachelor, ASPO 01.10.2020
Module code: IPS.TEC2c
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
2PA (2 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
Semester: 1
Mandatory course: no
Language of instruction:
Project presentation and documentation

[updated 03.04.2020]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

IPS.TEC2c (P231-0145) International Project Semester, Bachelor, ASPO 01.10.2020 , semester 1, optional course

Suitable for exchange students (learning agreement)
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
30 class hours (= 22.5 clock hours) over a 15-week period.
The total student study time is 75 hours (equivalent to 2.5 ECTS credits).
There are therefore 52.5 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
Recommended knowledge:
TEC1: Introduction to Arduino

[updated 03.04.2020]
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Martin Löffler-Mang
Prof. Dr. Martin Löffler-Mang

[updated 01.07.2022]
Learning outcomes:
After successfully completing the course, the students master the connection of standard sensors to a commercially available microcontroller (preferably Arduino). In addition, the students learned to carry out a small project. They are familiar with the brainstorming process for idea finding, can plan resources, divide up their project working hours and ultimately bill the project costs. They are able to work together in international and interdisciplinary teams, solve minor conflicts themselves, present their own project results and document them in writing.

[updated 03.04.2020]
Module content:
The sensor applications are selected by the students themselves ("Students design teaching") and implemented on their own responsibility. Typical example projects from the past were: anti-gravity, ultrasonic levitation, hand fly remote, LED hourglass, robot snake, smart parking (all 2020);
Car tracking, self-righting vehicle, earthquake simulator, goal celebrations, Lissajous figures, chicken guard (2019);
Sonic Vision, autofocus, ball throwing robot, ball sorting, vibration damper, Top Sonic, Dancing Steel (2018).

[updated 03.04.2020]
Teaching methods/Media:
The students go through a moderated process in teams of 3-5 people:
1. Brainstorming to develop your own sensor application
2. Evaluation of the best ideas
3. Resource and cost estimation, schedule
4. Brief presentation in the plenum with assignment
5. Working phase with mentoring

[updated 03.04.2020]
Additional information:
Ideally, the teams are multinational and interdisciplinary.

[updated 03.04.2020]
Recommended or required reading:
Hering, Martin, Storer: Physik für Ingenieure
Löffler-Mang: Optische Sensoren
Kneip: Introduction to Arduino

[updated 03.04.2020]
[Sun Apr 21 01:42:35 CEST 2024, CKEY=issa, BKEY=ipsm, CID=IPS.TEC2c, LANGUAGE=en, DATE=21.04.2024]