More intermingling faculty - students More interactivity in the labs - perhaps have Q&A sessions right after the mid-afternoon coffee break CODEX-Akoya / spatial data Something on DL? More systematic introduction into the creation of modern research outputs (Rmarkdown vignettes, optinally with interactive widgets in them (plotly); Shiny)
Use ChatGPT et al. for /in lieu of gene set enrichment analysis
What to drop?
Perhaps the "Annotation resources" lecture can be made more concrete by adding a concrete dataset integration / "metaanalysis" running example? Group projects did not work well this time. My impression: objectives unclear / too broad, students already inundated with everything else.