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How to Adopt

The standardized workflow for bringing data science curriculum and infrastructure to your institution.

Every course on this site follows the same adoption workflow. Modules have a lighter process (download notebooks and go). This guide is the standardized, single source of truth for the course workflow; each course page then composes these steps with its own repositories, hub, license, and any course-specific notes. For modules, see the Modules section.

Most instructors are up and running in a couple of hours once they have GitHub access and import the Canvas template. If a JupyterHub is being provisioned for you (for example through Cloudbank or Cal-ICOR), that step can take longer depending on scheduling. We will tell you what to expect when you get in touch.

What you'll get

When you adopt a course you can expect:

  • The Jupyter notebooks for labs, homeworks, and projects
  • The solutions to all the notebooks (private)
  • Lecture slides and, where available, videos
  • Worksheets (and solutions) used in discussion/lab sessions
  • A Canvas template customized to use JupyterHub for your institution
  • Access to a JupyterHub instance configured to your campus single sign-on
  • Access to a grading service that grades student notebooks and returns a CSV of grades

The workflow at a glance

  1. Choose a delivery mode: pick how students will run notebooks (campus JupyterHub, a partner-provisioned hub via Cloudbank or Cal-ICOR, or alternatives like Colab/Binder). See Infrastructure & Tools.
  2. Get access: create a GitHub account, complete the course's instructor interest form, fork the student materials, and accept the solutions + grading invitations.
  3. Set up Canvas: download the course's Canvas template, point its links at your hub, and import it. See Canvas Import.
  4. Grade with Otter: use the web-based Otter Service Standalone (or Gradescope / local). See Otter Autograding.
  5. Adapt content: customize within the bounds of each course's license. See Adapting Content and Understanding Licenses.
  6. Get support: see Support when you need help.

Start with your course or module page

The steps below are for full course adoption. For the exact repository URLs, Canvas template, license, and grader settings, open your course page: Data 6 · Data 8 · Data 100 · ECC CSCI 9. For modules, see Cal-ICOR · Data Science Modules.