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This wiki is a collection of information that is meant to be useful for new and existing connector instructors. It contains information for setting up your connector course, a bit about the technical infrastructure that we're using, and pointers to help you in your teaching. There is also a collection of scripts, example jupyter notebooks, and tutorials here (or click on the code tab above).

Some of the material is still under development. If you have a question about something, or a suggestion for something to add, please open an issue by clicking on the issues tab, then clicking new issue. The pages listed below have a decent amount of information. The pages listed to the right may or may not be useful yet.

• Workflow describes how to create, distribute, and collect class materials with jupyterhub
• FAQ contains commonly-asked questions from connector instructors.
• Resources has information about computational resources in data8

Who is this for?

These guides are intended for connector instructors interested in creating material that utilizes the same infrastructure as the main course.

Specifically, if you would like to use Jupyter notebooks and optionally the datascience package in your course, this guide is for you. Follow the links above to find this information.

Points of contact

Sam Lau (samlau95@gmail.com) and Chris Holdgraf (choldgraf@berkeley.edu) are your current points of contact about issues and questions you may have as a connector instructor. Email us with questions or ping us on slack.