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Introduction to Single-Board Computers

Module name (EN):
Name of module in study programme. It should be precise and clear.
Introduction to Single-Board Computers
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Applied Informatics, Bachelor, ASPO 01.10.2017
Module code: PIB-EE
SAP-Submodule-No.:
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.
P221-0071
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.
2V+2PA (4 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.
5
Semester: 4, 5, or 6
Mandatory course: no
Language of instruction:
German
Assessment:
Project, paper with presentation

[updated 23.11.2020]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

KIB-EE (P221-0071) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2021 , optional course, informatics specific
KIB-EE (P221-0071) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2022 , optional course, informatics specific
PIB-EE (P221-0071) Applied Informatics, Bachelor, ASPO 01.10.2017 , optional course, informatics specific
Workload:
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).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Peter Birkner
Lecturer: Prof. Dr. Peter Birkner

[updated 27.08.2020]
Learning outcomes:
After successfully completing this module, students will be familiar with the basics and concepts of single-board computers:
- They will understand the differences between a computer and a microcontroller.
- They will be familiar with the most important application areas of such miniature computers.
- Students will be more familiar with the software and hardware.
- They will be able to perform simple measurement and control tasks with a single-board computer.
- They will understand the concept of a cluster and learn the basics of MPI based on the example of a Raspberry Pi Zero cluster.


[updated 23.11.2020]
Module content:
- Introduction ( Why use single-board computers at all? History and development, differences between Raspberry Pi and Arduino, important applications)
- Hardware (Models, processors, connectors, compute modules, general purpose input output, sensors, firmware)
- Software (Operating systems, brief introduction to UNIX, Wolfram Mathematica, Raspi as web server)
- Network (Raspi as VPN gateway, SSH, Samba client)
- IoT (Raspi as Z-Wave controller with FHEM)
- Programmierung (Assembler, scripting languages, Python, C)
- The GPIO interface (experiments with the OnBoard LED, temperature sensors, HATs)
- The I2C bus
- A Raspberry Pi cluster consisting of 4 Raspberry Pi Zeroes (overview, installation and configuration)
- Introduction to parallel programming with MPI (Message Passing Interface) and the Raspberry Pi cluster
 
Other possible topics:
- Emulating a Raspberry Pi
- Single-board computers from other manufacturers


[updated 23.11.2020]
Recommended or required reading:


[still undocumented]
Module offered in:
WS 2023/24, WS 2022/23, WS 2021/22, WS 2020/21 
[Fri Apr 19 19:30:41 CEST 2024, CKEY=keie, BKEY=pi2, CID=PIB-EE, LANGUAGE=en, DATE=19.04.2024]