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Simplify homepage project section
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@@ -28,8 +28,6 @@ The narrative spine of the course is *from raw traces to defensible claims*. Eac
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## Group projects
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Six project variants. Each group works through the same four-week workflow (`week1_explore.qmd`, `week2_operationalize_clean.qmd`, `week3_model.qmd`, `week4_storytelling.qmd`) on its own data family, and teaches the same six dimensions to the rest of the class: **data structure, storage system, file formats, encoding, model, and key aspects**.
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| Variant | Data family | Example research question |
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| :------------------- | :------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------- |
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| Geospatial | [`projects/geospatial.md`](projects/geospatial.md) | What is the relation between municipal land use and population composition? |
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| Relational database | [`projects/relational_database.md`](projects/relational_database.md) | Which driver, constructor, grid, circuit, and season characteristics are associated with F1 finishing points? |
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| Time series | [`projects/time_series.md`](projects/time_series.md) | How does an fMRI signal change across NSD scan sessions? |
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| API data | [`projects/api_data.md`](projects/api_data.md) | Which study attributes are associated with completed versus ongoing clinical trials? |
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## Assessment
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Assessment is based on the group project, which runs for the full duration of the course. The project grade is the final course grade. Each group submits a short structured report and gives a final presentation; both are evaluated on the raw-to-clean-to-model pipeline, the methodological choices, and the limits of the claim.

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