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 15.04.2026 First things first How this course works, Why is proximate sensing relevant? How do proximate sensing methods differ from traditional ones?
02 22.04.2026 conceptualization & principles seminar?
    Basics  
03 29.04.2026 hardware basics  
04 06.05.2026 software basics  
05 13.05.2026 AI basics I  
06 20.05.2026 AI basics II / Analysing  
    DIY  
07 27.05.2026 Project outlook + Gitlab  
08 03.06.2026 Project week/BionicBlitz  
09 10.06.2026 Project group work  
10 17.06.2026 Project group work  
11 24.06.2026 Project group work  
12 01.07.2026 Seminar + Feedback GL  
13 08.07.2026 Seminar + Feedback GL  
14 15.07.2026 Wrap up Time for questions and feedback, individual projects problems, goodbye

Team

Lea Heidrich

University of Marburg