Statistical foundations
Basic statistics, sampling, inference and sound interpretation for agricultural research.
DEPARTMENT TRAINING
Methods you can understand. Tools you can use.
The department offers practical programmes for students, researchers, faculty members and scientists working with agricultural and interdisciplinary data.
Training areas
Experimental design
Design and analysis of experiments, multivariate methods and research workflows.
R, Python and visualization
Practical computing, reproducible analysis, graphics and department-developed tools.
AI for agricultural research
Machine learning, computer vision and responsible AI-assisted analytical practice.
Designed for different learning needs
StudentsBuild confidence through guided practice.
ResearchersChoose appropriate methods and workflows.
FacultyStrengthen teaching and research computing.
ScientistsApply modern tools to institutional projects.
Programme formats
Training may be offered as focused workshops, hands-on short courses, online sessions or customised institutional programmes. Topics and duration are matched to the audience, learning objectives and available facilities.
TRAINING NOTICES
Current calls and registration details
New programmes will be announced through the website. Institutions may also contact the department to discuss a customised programme.