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Modules

Standalone Jupyter notebooks you can drop into an existing course - no full course adoption required.

Modules are self-contained notebooks on specific topics (ethnic studies, AI, calculus, chemistry, and more). They are designed to fit into your existing classroom, regardless of discipline.

  • Cal-ICOR Modules


    An inter-segmental effort to bring computational notebooks into courses across California higher education. Instructors can contribute and adopt notebooks.

  • Data Science Modules


    Multidisciplinary Jupyter notebooks developed by UC Berkeley DSUS. Topics span ethnic studies, AI, calculus, chemistry, and more.