Technical Infrastructure

This section covers the technical infrastructure needed to run Data 6 at your institution.

Overview¶

Running Data 6 requires several technical components:

• JupyterHub: For providing students with access to Jupyter notebooks

• Grading infrastructure: For automated grading of assignments

• Course website: For hosting course materials and notes

• Version control: For managing course materials (typically GitHub)

JupyterHub¶

JupyterHub allows students to access Jupyter notebooks through a web browser without needing to install software on their own computers. This is essential for ensuring all students have access to the same computing environment.

Key considerations:

• Integration with your institution’s authentication system (SSO)

• Resource allocation (CPU, memory, storage)

• Backup and data persistence

• Accessibility compliance

Grading Infrastructure¶

Data 6 uses automated grading systems to provide timely feedback to students. The primary tool used is Otter, which can grade Jupyter notebooks automatically.

Key considerations:

• Integration with your LMS (Canvas, etc.)

• Grade export capabilities

• Security and privacy of student data

Course Website¶

The course website hosts:

• Course notes (online textbook)

• Syllabus and schedule

• Assignment links

• Other course materials

The Data 6 course notes are built using Quarto and hosted on GitHub Pages.

Getting Help¶

For more detailed technical information, see “The Data Science Educator’s Guide to Technical Infrastructure”.

If you need help setting up infrastructure at your institution, please contact data6@berkeley.edu.