Agricultural Systems Project
- Faculty
Faculty of Engineering and Computer Science
- Version
Version 1 of 20.01.2026.
- Module identifier
11B2147
- Module level
Bachelor
- Language of instruction
English, German
- ECTS credit points and grading
15.0
- Module frequency
only winter term
- Duration
1 semester
- Brief description
The Agriculture Systems Project module enables students to plan, implement and test an application project based on a division of labor. Students learn about the challenges of working in a group and how to solve them together. In addition to technical work, the focus is also on project organization, teamwork and independent research as well as documentation and presentation of the work. Thematically, the projects to be selected are in the field of agricultural system technologies and bring innovative technology (e.g. AI or robotics) into agricultural application. The project tasks are offered by different lecturers. At the beginning of the course, students can choose from the topics on offer. Projects with a limited number of participants are allocated on a first-come, first-served basis.
- Teaching and learning outcomes
- Working in a team
- Project planning and project organization
- Independent research, project organization and presentation of project results
- In-depth technical content in the field of agricultural system technologies
- Overall workload
The total workload for the module is 450 hours (see also "ECTS credit points and grading").
- Teaching and learning methods
Lecturer based learning Workload hours Type of teaching Media implementation Concretization 45 Learning in groups / Coaching of groups Presence or online - 15 Lecture Presence or online - Lecturer independent learning Workload hours Type of teaching Media implementation Concretization 390 Work in small groups -
- Graded examination
- Project Report, written
- Exam duration and scope
The length of the expected project report varies depending on the group size and topic. The guideline is 20 pages for a 3-person group and 5 pages for each additional person.
- Recommended prior knowledge
The specific requirements vary depending on the specific topic of the project. However, the module generally requires in-depth programming skills in Python. In addition, experience in smart farming, AI and agricultural robotics is recommended.
- Knowledge Broadening
Students independently apply the knowledge they have acquired in the course of their studies to date. They are able to identify the relevant knowledge bases for the respective task and expand them independently as required.
Students can adequately communicate the results of their work in written and oral form (project report, presentation).
Students are familiar with key aspects of project management.
Students are able to adequately plan challenging tasks and adapt the planning to the course of the project.
- Knowledge deepening
Students have comprehensive knowledge of the independent planning, execution and implementation of an applied project. They deepen their knowledge in a project-specific area of agricultural system technologies.
- Knowledge Understanding
Graduates reflect on the project tasks and reflect on their own level of knowledge and that of the group against the background of this task. Students must evaluate their level of knowledge in the context of the task and, if necessary, expand it.
- Application and Transfer
Students can create a detailed project plan for a group based on an abstract problem and work through it in an agile manner.
- Academic Innovation
The problems of the projects to be carried out are closely integrated into the university's research activities. The students implement the projects in a scientific way by first deriving a research hypothesis based on an abstract problem, which is then confirmed or refuted in the course of the project.
- Communication and Cooperation
Students are expected to present the results of their projects in a project fair and present them in a generally understandable way. In addition, the module focuses on cooperative work in groups and its self-organization.
- Academic Self-Conception / Professionalism
In the module, students must learn to assess their own competencies in order to be able to realize an optimal distribution of tasks within the group. In addition, the project is implemented using agile project management methods with alternating responsibilities, so that each student is responsible for the internal organization of the group for a certain period of time.
- Literature
je nach Aufgabenstellung unterschiedlich
- Applicability in study programs
- Agricultural Technologies
- Agricultural Technologies B.Sc. (01.09.2025)
- Person responsible for the module
- Stiene, Stefan
- Teachers
- Tiemann, Inga