Digital Lab
- Faculty
Faculty of Agricultural Science and Landscape Architecture
- Version
Version 1 of 17.07.2025.
- Module identifier
44B0863
- Module level
Bachelor
- Language of instruction
German, English
- ECTS credit points and grading
5.0
- Module frequency
winter and summer term
- More information on frequency
The module is offered in both semesters depending on student interest.
- Duration
1 semester
- Brief description
The "Digital Lab" module enables students to explore and implement their own ideas for digital solutions within a semester. Building on the previously completed compulsory modules "Digitalization and Programming" and "Problem Solving with Artificial Intelligence", this module offers a practical platform for applying and deepening the acquired knowledge. Students are encouraged and empowered to independently develop and implement innovative solutions, with necessary knowledge components provided throughout the semester as needed. By combining theoretical foundations with practical application, the "Digital Lab" module enhances not only the technical skills but also the creative and problem-solving abilities of the students. This module prepares students for the challenges of digital transformation in various professional contexts and strengthens their ability to conceive and implement innovative solutions.
- Teaching and learning outcomes
The content of the "Digital Lab" module is based on the individual ideas of the students and their specific requirements. Typically, the following topics may be included:
- Integration of sensors and actuators
- Use of AI models to solve specific problems within the planned application
- Utilization of cloud services in the context of building a software application
- Building and utilizing a database
- Development and implementation of a web-based user interfaces
In addition to these content areas, the module emphasizes the planning of a digital application and agile project management.
- Overall workload
The total workload for the module is 150 hours (see also "ECTS credit points and grading").
- Teaching and learning methods
Lecturer based learning Workload hours Type of teaching Media implementation Concretization 30 Learning in groups / Coaching of groups - Lecturer independent learning Workload hours Type of teaching Media implementation Concretization 120 Work in small groups -
- Graded examination
- Field work / Experimental work
- Ungraded exam
- Regular participation
- Remark on the assessment methods
Ungraded assessment is regular attendance at the seminars.
- Recommended prior knowledge
To successfully complete this module, the "Digitalization and Programming" module should be successfully completed. Additionally, it is recommended to have taken the "Problem Solving with Artificial Intelligence" module beforehand.
- Literature
Die Literaturhinweise werden zu Beginn der Veranstaltung ver?ffentlicht, um die Aktualit?t und Relevanz sicherzustellen.
- Applicability in study programs
- Food Production Engineering and Business
- Food Production Engineering and Business B.Eng. (01.09.2025)
- Agricultural Technologies
- Agricultural Technologies B.Sc. (01.09.2025)
- Managing Sustainable Food Systems
- Managing Sustainable Food Systems B.Sc. (01.09.2025)
- Person responsible for the module
- Meseth, Nicolas
- Teachers
- Meseth, Nicolas