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Setting up JupyterHub and autograding functionality for Labs and/or Homeworks. Perhaps not that difficult using the existing DSCI infrastructure. Solutions can be validated with {digest}
Accomodate Python and/or Julia? Students always ask, but it would involve lots of duplication in the current state.
Make it partially flipped.
Switch HW/Labs to Quarto. Ongoing difficulty:
pdf output is easier for the TAs to grade, but gets long, paged, LaTeX headaches.
HTML output is hard to grade, but avoids LaTeX install headaches.
Potential structure changes
Perhaps do Module 5 (Unsupervised) earlier. Or create something called "Feature creation" that bundles dimension reduction, basis expansions, some amount of the deep learning material.
Students may need less {tidyverse} and GitHub than they did previously.
Revisit using UBC GitHub.
Explore changing the prerequisites (possibly just Stat 301).
Worth incorporating other GLMs (besides logistic regression).
Module 5 is a bit juvenile. It used to include other manifold learning stuff, but it took too much time.
Potential grading changes
The 35% final is still a bit generous, so final grades are high (~ 82 average) even though the median on the final is about 50%.
Could add a Midterm (and see below). Maybe 30% on the final 15% on a midterm. Effort for the rest.
Less weight on labs (perhaps 1.5 points each)
Some students still shirk on the clickers. The <25% penalty is very hard to enforce.
Would be nice to have non-multiple choice exam. But horrible to mark.
An IRT of the final would likely not be flattering (some questions are not discriminatory).
Comments from peer and student feedback
Some students would actually like to see midterms. Though this means dealing with absences/excuses. This can also increase student anger at the instructor and lead to lower evals.
Find a way to do more "live coding" (peer). Also, more "written" mathematics.
Find a way to discuss HW and Lab solutions somewhere. (Perhaps every other lab "done" during the section, alternate is discussion of solutions).
Monday labs haven't always seen the material yet. But deadlines are tied to the section meetings. I doubt this is that big a deal. Suggestion was "all due on Friday".
The text was updated successfully, but these errors were encountered:
Potential large projects
{digest}
Potential structure changes
{tidyverse}
and GitHub than they did previously.Potential grading changes
Comments from peer and student feedback
The text was updated successfully, but these errors were encountered: