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Embedded Systems / Internet of Things (IoT) AG (Engl)
Embedded Systems / Internet of Things (IoT) AG (Engl)
BK121
EmbedSysInte-01-BA-M
Prof. Dr. Patz, Ralf (ralf.patz@haw-kiel.de)
Prof. Dr. Acker, Wolfram (wolfram.acker@haw-kiel.de)
Prof. Dr. Patz, Ralf (ralf.patz@haw-kiel.de)
Sommersemester 2025
1 Semester
In der Regel jedes Semester
Englisch
Studiengänge und Art des Moduls (gemäß Prüfungsordnung)
Studiengang Vertiefungsrichtung Schwerpunkt Modulart Fachsemester
B.Eng. - Me (PO 2024) - Mechatronik (PO 2024, V5) Wahlmodul
B.Sc. - INF - Informatik (PO 2021,V1) Wahlmodul
B.Eng. - E - Elektrotechnik (PO 2017, V3) Wahlmodul
B.Eng. - Ming - Medieningenieur/-in (PO 2018, V1 + PO 2021, V2) Wahlmodul
B.Eng. - E - Elektrotechnik (PO 2023, V4) Wahlmodul
B.Sc. - INI - Informationstechnologie (PO 2017, V1) Wahlmodul
B.Eng. - Me (PO 2023) - Mechatronik (PO 2023, V4) Wahlmodul
B.Eng. - Wing - Wirtschaftsingenieurwesen - Elektrotechnik (PO 2023, V2) Wahlmodul
B.Sc. - WINF - Wirtschaftsinformatik (6 Sem.) Wahlmodul
B.Sc. - WINF 7 Sem. - Wirtschaftsinformatik (7 Sem.) Wahlmodul
B.Eng. - Wing - Wirtschaftsingenieurwesen - Elektrotechnik (PO 2017, V1) Wahlmodul
Kompetenzen / Lernergebnisse
Kompetenzbereiche: Wissen und Verstehen; Einsatz, Anwendung und Erzeugung von Wissen; Kommunikation und Kooperation; Wissenschaftliches Selbstverständnis/Professionalität.
The students
- will understand the principles of embedded systems based on micrcontrollers and single-board computer.
- will be able the evaluate products and systems based on embedded systmes.
- will work in teams on tasks and will be able to defend and argue their positions against the other team members.
Angaben zum Inhalt
Embedded systems are used in most electronic systems nowadays. The term "Internet of Things" (IoT) as been coined as they get increasingly networked (Ethernet, Wifi, Bluetooth, etc.) via the Internet. This module exposes the students to embedded systems as well as to the IoT. The concepts and tools are conveyed via project work using different embeded system platforms (e.g. Ardunio, Raspberry PI, ARM Mikrocontroller, or similar). Different approaches are used in order to take into account the different levels of students.
• Charalampos Doukas, Building Internet of Things with the Arduino, CreateSpace Independent Publishing Platform, 2012.
• Charles Bell, Beginning Sensor Networks with Arduino and Raspberry Pi, Apress; Auflage: 2013
• E.F. Engelhardt, Sensoren am Raspberry Pi, Franzis Verlag GmbH, 2014.
• Texas Instruments Launchpad, www.ti.com/launchpad
Lehrformen der Lehrveranstaltungen
Lehrform SWS
Labor 4
Arbeitsaufwand
4 SWS
5,0 Leistungspunkte
48 Stunden
102 Stunden
Modulprüfung
Prüfungsform Dauer Gewichtung wird angerechnet gem. § 11 Satz 2 PVO Benotet Anmerkung
Projektbezogene Arbeiten 100 %
Sonstiges
The module is project orientated and offered every semester. This allows the student to work on the project for a longer time period. It is therefore possible, and encouraged, to enrol into the module for more than one semester. In this case the module is limited to a total of 5 CP.
The attendance of the laboratory sessions is compulsory.
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