Digital Water CVU2020

Digital Water: Emerging Data Science and Research Software
Course Number: CEE 599 B,D
Christina Bandaragoda, University of Washington
Learn how to use digital infrastructure to publish, manage, and operate software to translate your research between science
domains for research, policy development, and decision-making using observations and models. Discover data, generate and
test hypotheses, and ethically cooperate on reproducible research with online platforms, modeling frameworks, and open
source software for interactive science focusing on water data and translation tools.
Prerequisites: None. Additional resources will be provided for those not familiar with Python. Students new to programming
should anticipate extra time for completing assignments.

Class resources
1. Make a folder with your name on it for your work; this will be private until consent forms are finished.
2. Upload a Notebook draft and materials for 5 minute presentation OR readme with links to Github.

Add MyBinder: https://www.hydroshare.org/resource/51188b5303514b20b1b092a24c6620e9/