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