Research Data & Computation
Computational lab course that spans research data processing workflow starting just after the point of acquisition through to computation and visualization.
Topics Include
- Stanford specific best practices for data storage
- Code management
- File formats
- Data curation
- Toolchain creation
- Interactive and batch computing
- Dynamic visualization
- Distributed computing
Students will work with a dataset of their choosing when working through topics