Your honest feedback helps us improve. Rate how useful each part was for you, and add a comment if you like. Leave anything blank if you prefer.
1. Setting up R and R basics (installing R/RStudio, console and scripts, objects, data handling, plotting)
Please select…1 – not useful2345 – very usefulDid not attend / skip
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2. DOM and EEM background (DOM properties, excitation-emission matrices, absorbance, why PARAFAC)
3. staRdom preprocessing (import, corrections, scatter removal, interpolation, data checks)
4. Indices and absorption parameters (Coble peaks, FI/HIX/BIX, absorbance slopes)
5. PARAFAC modelling (building models, diagnostics, split-half validation)
6. Working on your own data (the work, feedback and discussions on your own dataset)
7. Reflection session (Q&A, sharing experience, …)
8. Supplementary materials (the AI-assisted coding tutorial, the git/renv guide, the cheat sheet)
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9. How was the overall pace?
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10. How clear were the course materials overall? (tutorials, cheat sheet)
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11. How likely would you be to recommend this course to a colleague?
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12. Which part did you find most useful, and why?
13. Which part was least useful, hardest to follow, or felt too fast or too slow? (optional)
14. Anything you would add, remove, or change?
15. Any other comments?
Fill this in only if you would like follow-up or to hear about future offerings. You can leave it blank and still submit your feedback.
Which parts of analysing your own data still feel hardest or most time-consuming?
Which follow-up topics would interest you?
Advanced PARAFACAbsorbance and slopes in depthAutomating and reproducible R workflowsStatistics for DOM dataSomething else (tell us above)
Would any of these be useful to you?
A follow-up course or workshopOne-off consulting on my own dataSomeone to run an analysis for meNot sure yet
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