Geoinformatics III - GeoSensorWeb

Course content

In this course you will learn the basics of IoT technology, microcontrollers, Low Power Wide Area Networking (LoRa) and the Geo Sensor Web using Open Source software, open standards and services. The course is strongly focused on a practical learning expericence where groups of students realize a small IoT project implementing all steps from hardware installation, programming of microcontrollers, reading sensor data, to sensor data management with open standards up to a finished IoT application, e.g. an online dashboard.

All groups members will receive an Arduino microcontroller and a set of low-cost sensors/actuators, with which they can realize individual projects such as indoor climate monitoring, automatic irrigation systems, fine dust measurements and many others. As networking technology we can use the city-wide available LoRaWAN infrastructure of Stadtwerke München.

The current time table for the course is available here: https://wiki.tum.de/display/geosensorweb/Organization

Timetable

Date	Room booking	Estimated duration	Staff	Content
12.04.2021	13:30 - 14:00	30 min	Bruno	Welcome Brief intro Course organization
19.04.2021	13:30 - 15:00	1,5 h	Bruno	Course organization Intro flipped classroom Wiki page and Slack channel Introduction of staff Overview course content Teaching goals Important tools Hardware examples Student projects of past courses
26.04.2021	13:30 - 15:00	1,5 h	Bruno HiWis	Theory: Introduction to IoT: Part I Introduction to IoT: Microcontrollers, Sensors, Actuators Brief presentation of student projects Assign dates to collect course hardware at TUM, Arcisstr. 21
03.05.2021	13:30 - 15:00	1,5 h	Bruno HiWis	Theory: Introduction to IoT: Part II Introduction to IoT: Microcontrollers, Sensors, Actuators Assign student projects and from groups
10.05.2021	13:30 - 16:30	1,5 - 3 h	Bruno HiWis	Practical exercise: Getting started with Microcontrollers (MC) Download, setup, and intro to Arduino IDE Make a connection to an Arduino MC Download libraries Flash code to device Homework Setup and use another sensor with your MC on your own Create a brief documentation in the wiki (1 page) Take photos of your device and sensor Upload the code and the `ino` file Show some sensor readings Deadline next session Tutoring session Get help of our tutors Discuss your problems, solutions with the other groups
17.05.2021	13:30 - 16:00	1,5 - 2,5 h	Bruno HiWis	Theory: Introduction to LoRAWAN Introduction to LoRaWAN LoRaWAN with Microcontrollers Brief discussion of the homework Tutoring session Get help of our tutors Discuss your problems, solutions with the other groups
24.05.2021	Pfingstmontag (frei)
31.05.2021	13:30 - 15:00	1,5 h	Bruno HiWis	Theory: Introduction to Geo Sensor Networks OGC Sensor Web Enablement standards suite Post and query data sensor data using SensorThingsAPI (FROST-Server); Tutoring session Get help of our tutors Discuss your problems, solutions with the other groups
07.06.2021	13:30 - 15:00	1,5 h	HiWis	Tutoring session Get help of our tutors Discuss your problems, solutions with the other groups
14.06.2021	13:30 - 18:00	2 - 3,5 h 15min break	Prof. Kolbe Bruno HiWis	Intermediate presentation (15 min, graded)
21.06.2021	13:30 - 15:00	1,5 h	HiWis	Tutoring session Get help of our tutors Discuss your problems, solutions with the other groups
28.06.2021	13:30 - 15:00	1,5 h	HiWis	Tutoring session Get help of our tutors Discuss your problems, solutions with the other groups
05.07.2021	13:30 - 15:00	1,5 h	HiWis	Tutoring session Get help of our tutors Discuss your problems, solutions with the other groups
12.07.2021	13:30 - 18:00	2 - 4 h 15min break	Prof. Kolbe Bruno HiWis	Final presentation (15 min, graded)

Contact

For further questions please contact Bruno Willenborg

Geo Sensor Networks and the Internet of Things ()

Vortragende/r (Mitwirkende/r)	Thomas Kolbe Andreas Donaubauer
Umfang	4 SWS
Semester	Sommersemester 2023
Stellung in Studienplänen	Siehe TUMonline

Termine

17.04.2023 13:30-17:30 0790, Hörsaal , Lecture content and duration details here: https://wiki.tum.de/display/geosensorweb/Schedule
24.04.2023 13:30-17:30 0790, Hörsaal , Lecture content and duration details here: https://wiki.tum.de/display/geosensorweb/Schedule
08.05.2023 13:30-17:30 0790, Hörsaal , Lecture content and duration details here: https://wiki.tum.de/display/geosensorweb/Schedule
15.05.2023 13:30-17:30 0790, Hörsaal , Lecture content and duration details here: https://wiki.tum.de/display/geosensorweb/Schedule
22.05.2023 13:30-17:30 0790, Hörsaal , Lecture content and duration details here: https://wiki.tum.de/display/geosensorweb/Schedule
05.06.2023 13:30-17:30 0790, Hörsaal , Lecture content and duration details here: https://wiki.tum.de/display/geosensorweb/Schedule
12.06.2023 13:30-17:30 0790, Hörsaal , Lecture content and duration details here: https://wiki.tum.de/display/geosensorweb/Schedule
19.06.2023 13:30-17:30 0790, Hörsaal , Lecture content and duration details here: https://wiki.tum.de/display/geosensorweb/Schedule
26.06.2023 13:30-17:30 0790, Hörsaal , Lecture content and duration details here: https://wiki.tum.de/display/geosensorweb/Schedule
03.07.2023 13:30-17:30 0790, Hörsaal , Lecture content and duration details here: https://wiki.tum.de/display/geosensorweb/Schedule
10.07.2023 13:30-17:30 0790, Hörsaal , Lecture content and duration details here: https://wiki.tum.de/display/geosensorweb/Schedule
17.07.2023 13:30-17:30 0790, Hörsaal , Lecture content and duration details here: https://wiki.tum.de/display/geosensorweb/Schedule

Teilnahmekriterien

Lehrstuhl für Geoinformatik

Prof. Kolbe

Technische Universität München
Arcisstr. 21
80333 München

Tel.: +49.89.289.22578
Fax: +49.89.289.22878

tanja.nyc(at)tum.de