The final project is the whole course in one piece of work. A real researcher brings a real dataset and a question they have never had time to answer; a student takes it on, directs an AI agent to do the analysis, checks every result, and hands back something the researcher can run without them. It is a client relationship, not a submission.
There are two sides to it. Pick the one that is you:
Find a client, run the two meetings, build and verify the analysis, hand in, and (Master’s) present. Your dates, your workload, and exactly how and where to submit.
What we ask of you (about two hours), how your data is handled and kept safe, how you follow the work on your private project page, and when you get your results.
The one rule that applies to everyone
It must be someone else’s problem — the student works on a researcher’s data and question, never their own. Being the outsider is the entire skill the course teaches.
Key dates
| When | What |
|---|---|
| Late Sep – early Oct | Students and researchers are matched; the teaching team approves each project. |
| Early–mid Oct | Meeting 1 (interview + data hand-over) → the student builds for 2–3 days → Meeting 2 (show it, hear what is wrong). |
| By 23 Oct | Hand-over — a written report + a runnable app/code. The course period ends. |
| Tue 27 Oct, 10:00–12:00 | Oral presentations (Master’s students: mandatory, sets the grade). |
Individual extensions, where agreed with us by email, override these dates.
The public call for projects has closed, but you can still read what researchers were offered: the original call.
Questions about a client, a scope, or anything above: Wei Ouyang, Songtao Cheng and Nils Mechtel, or email ddls-course@scilifelab.se.