I will present infrastructure to easily deploy courses, e.g. at universities, based on JupyterHub, nbgrader, jupyterquiz, and dedicated plugins to enable hurdle-free teaching of programming courses through various formats.
The talk will cover the course infrastructure required to get a course up and running, and demonstrate the ways these packages work together to enable instructors teach programming and data science courses at scale, freeing up teaching assistants to do the most effective forms of tutoring instead of choking over grading and course administration.
I am a theoretical physicist by education and work as a system administrator for high performance computing at a medium-sized German university. I have been teaching undergraduate courses on programming and data science for three years now. Over time, I refined my course infrastructure materials and now can easily provide courses to hundreds of participants.
