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Instructor guide

While this is meant as internal documentation for the instructor, others are welcome to read it.

Adding/updating packages

  1. Modify environment.yml

  2. Run

    make update_packages

  3. Manually update the notebooks with interactivity {% if id == "nyu" -%}

  4. Update environment in JupyterHub

    mamba env update --file extras/environment.yml --prune

{% endif -%}

Slides

While the lecture notes can be viewed as a plain notebook, they are also visible as slides.

make slides lec=N

Site

The site is generated using JupyterBook and deployed to ReadTheDocs. Markdown (.md) files and the files and folders that start with an underscore (_) are related to JupyterBook.

The HTML can be downloaded as an artifact from the latest Publish Action.

Building locally

  1. Stage changes in Git, as they will be overwritten.

  2. If on the {{school_slug}} branch, run:

    ./extras/scripts/build.sh

  3. If on main or other branches, run:

    ./extras/scripts/school_ci.sh <school>

Checking broken links

Once the site is built, you can check broken links with:

make linkcheck

Notebook cleanup

To ensure that notebooks have the correct execution order and output, run them non-interactively.

./extras/scripts/update.sh <file>.ipynb

Start of class checklist

  • Put out attendance sheet
  • Connect to HDMI
  • On laptop, turn on:
  • Set phone to Do Not Disturb
  • Run lecture notebook {% if id == "columbia" -%}
  • Set up Zoom recording

{% else %}

Data sets

Canonical copies of data are in a Google Drive folder, synced locally with Google Drive for desktop. Data is then compressed and uploaded to a Google Cloud Storage bucket via Terraform. Descriptions of the data sets.

gcloud auth application-default login

{% if id == "columbia" -%}

Student enrollment activity

This only shows students coming off the wait list.

  1. Visit SSOL
  2. View the Wait List Activity
  3. Open the Console
  4. Paste the script
  5. Do the same for the other section(s)

Updating the curve

  1. Open {{lms_name}}
  2. Go to Grades
  3. Export -> Export Entire Gradebook
  4. In the curve notebook, update the CSV filename
  5. Re-run the notebook
  6. Spot-check the new cutoffs
  7. Update the course grading scheme {% else -%}

JupyterHub troubleshooting

Most of the issues are around Plotly rendering. Things that have been hit repeatedly:

See also

Autograder

Requires Docker. Put files in extras/autograder/submission/, then run:

make autograde

{%- endif %}

Contacts

{% if id == "columbia" -%}