SciServer in the Classroom
SciServer is a powerful resource for instructors at all levels. Students can learn science using real, modern scientific data, while at the same time developing important computational thinking and programming skills for the future.
Britt Lundgren of the University of North Carolina Asheville has created a series of activities for a semester-long lab course that teach programming skills as well as astronomy content.
The activities are an ordered series of Python notebooks that use data from the Sloan Digital Sky Survey to teach
Getting Started with lab activities
To get started using the SDSS lab activities, follow these steps.
- If you have not already, create an account on SciServer
- Log in to your SciServer Dashboard.
- From the Dashboard Home page, click on Compute to open SciServer Compute
- Create a new compute container (a virtual computing environment), using the SciServer Essentials image and mounting the Getting Started data volume.
- Open your new container and navigate to the getting_started/AAS2021/Education/labs folder.
- Click on the README.md file for information about the activities.
The entire Getting Started data volume is read-only, so to make changes to the example notebooks, copy them in your Storage/persistent directory.
Britt’s lab activities are described in more detail in her SDSS-EPO GitHub repository.