Course Schedule (Tentative):

Spring Training (mid-March through end-of-spring-semester)

ESIIL instructors will meet weekly with each team to answer questions and check-in on interns’ progress. We will bring all of the teams together to meet as a large group throughout the spring and summer semesters.

Spring training will include the following Big Ideas:

• Building your brand with GitHub Pages
• Using GitHub for collaborative data science
• Open and reproducible science with Python
• Earth and Environmental Data Science with Python
  • Tabular and time-series data
  • Vector spatial data
  • Raster spatial data

Summer Group Projects

Starting in the summer semester (early-June), group projects will begin. From here through the end of the internship (first week of August), teams will begin checking-in multiple times per week for regular progress reports, and help sessions for group projects. Each team will be responsible for designing their own project to apply the EDS skills learned during the Spring Training. Each team will present their group project during a final presentation and in written form through a project blog post during the final week of the internship. We will post your presentations and blogs to our YouTube channel and other social media. We will also discuss Digital Object Identifiers (DOI) and other ways to make your work findable and citable.

Click here to see what kinds of projects the EDSC teams completed as part of their internships