Data 9 Adoption
This page covers what instructors need to adopt Data 9 at their institution.
Instructor resources¶
For instructors adopting Data 9, we provide:
Instructor repository - assignment solutions and autograder configuration (ds-modules/cs-9-dev on GitHub). Contact ds
-help@berkeley .edu with your GitHub username to request access.
We do not currently provide a Canvas course shell for Data 9 (unlike Data 6). You can link the public notebooks from your own LMS or course site, and use the instructor repository for grading setup.
Student materials¶
All core student materials are openly available. Link these from your LMS or course site:
Course website (JupyterLite) - weekly schedule with lecture demos and labs in the browser
Online textbook - source: ds
-modules /ecc -cs9 -textbook Lecture materials - slide decks and lecture notebooks organized by topic
Labs and projects - Jupyter notebooks for projects and hands-on work
See the Intro page for a full overview of the course.
Getting help¶
Questions about adopting Data 9? Email ds