A course for both Bachelor and Master in Physical Geography at Marburg University

In order to assess how animals and plants react to environmental changes, spatially and temporally high-resolution information on their species composition, numbers of individuals and possible reactions and interactions is required. Efforts are therefore being made to increasingly replace traditional survey methods with automated monitoring and to collect information directly at the study sites using sensors. This course aims to provide an insight into this rapidly developing field and the various ecological, technical and data-related aspects involved. Its primary objective is to cultivate critical thinking skills and foster discussions among students.

Intended learning outcomes

At the end of this course you should be able to

  • Know the most important components and sensor types
  • Understand the requirements of a monitoring system
  • Describe basic codes for controlling the sensor
  • Describe the basic concepts of data acquisition, storage and analysis
  • Evaluate the limitations of different methods
  • Document the steps required to build a sensor box

MSc students should also be able to develop and present a project to improve one aspect of a Proximate Sensor.

Setting

This course will take place in a synchronous setting in presence in room F 14 | 00A19 with the options of visiting real-world examples of proximate sensors around the city.

Preliminary Syllabus

The course encompasses 13 sessions from 23.04.2025 to 23.07.2025. Subject to changes.

Session Date Aim Content
    Basics  
01 23.04.2025 First things first How this course works, Why is proximate sensing relevant? How do proximate sensing methods differ from traditional ones?
02 30.04.2025 conceptualization & principles Which sensor boxes are there and how do they work? How to build your sensor box?
    DIY Sensor Box  
03 07.05.2025 Programming a basic cron job How to program your sensor box?
04 14.05.2025 Building the base I Building the basic sensor box
05 21.05.2025 Building the base II Building the basic sensor box
06 28.05.2025 More programming, data What could you do to improve the sensor box?
    Analysing  
07 04.06.2025 A short introduction to AI How to use AI for analysing your results
08 11.06.2025 Analysing the data gathered How effective are sensor boxes in capturing the target?
18.06.2025 Project week No course today
    Seminar block  
09 25.06.2025 A little excurse  
10 02.07.2025 Seminar block I Present a specific sensor box
11 09.07.2025 Seminar block II Present a specific sensor box
12 16.07.2025 Final analysis Time to work on your individual project
13 23.07.2025 Wrap up Time for questions and feedback, individual projects problems, goodbye

Team

Lea Heidrich

University of Marburg