Course content
Today, sensors and their data are an integral part of spatial data infrastructures. Wired together using Geo Sensor Networks they are one of the main components of smart cities and smart regions. Thus, they play an important role in geodesy, construction, energy and mobility sectors, as well as for monitoring and controlling systems of the environment, agriculture, forestry and many more.
The focus of the module is to provide skills for analysis, concept development and implementation of IoT projects where data is collected using sensors, transmitted to the Internet using various network technologies, and managed, visualized and analyzed using open standards for Geo Sensor Networks.
The course includes an introduction to IoT hardware. Microcontrollers (Arduino, RaspberryPi), a range of sensors, actuators and indicators, and the most common protocols for communication between controllers and peripherals will be introduced. Furthermore, communication hardware and protocols of microcontrollers are discussed. The focus here is on Low Power Wide Area Network technology LoRa and the LoRaWAN protocol. For sensor data management, the basics of interoperable open standards for Geo Sensor Networks (including OGC Sensor Web Enablement and SensorThings API) will be introduced and standard compliant services and protocols will be used. In addition, methods and tools for visualization and analysis of time series data will be presented and used in the course.
The course provides a theoretical background of IoT sensor data and Geo Sensor Networks, which the students apply in practical exercises during the lectures. Throughout the semester, student groups of 2-3 students work on IoT projects - from the hardware selection up to an IoT application using sensor data collected by the hardware. The hardware for each student is provided by us and the teams work on their own. The student groups are supported by our staff and tutors.
More details on the course, a timetable and information regarding the grading and registration is available in Schedule.
Important references
- General information, timetable, exam info: Organization
- Course communication tools (Zoom link, Slack channel): Course communication (Zoom, Slack)
Support and contact
If you have questions regarding the course, please give me a call or write me an eMail: b.willenborg(at)tum.de, +49 89 289 22973
News
Dear Prospective Student,
Thank you for your interest in the course Geo Sensor Networks and the Internet of Things.
The registration period for the course begins on 15.03.2023. From this date, the course will be visible on TUMOnline.
There are limited enrolment seats available, and thus we strongly encourage you to apply as early as possible.
We are looking forward to seeing you in the summer semester.
Best regards,
Joseph Gitahi
Hello all,
Marking of the Geo Sensor Networks and the Internet of Things (ED110027 and ED110046) has been completed, and the grades published. If you would like a review of the grading, please send us a request.
Thank you all for your active participation, and we wish you all the best.
Hello all,
A quick reminder to the students taking the ED110046: (6 ECTS) module, the paper review submission deadline is the 1st of September, 2022.
Please upload your paper review in either PDF or DOC format to this link Upload Link. The file name should be in the following format: lastname_firstname.
Hello all,
To the students taking the ED110046: "Internet of Things for the Built Environment" for Environmental Engineering (6 ECTS) module, we have selected research papers for you to review. Each student will receive the allocated research paper in their Slack inbox.
Please find the paper review guidelines under the following link Paper review guidelines.
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