X-CITE training materials

X-CITE course is geared toward the community of scientists and researchers using the CHESS synchrotron X-ray facility and similar light sources.

This is the training overview:

Theme 1: Programming Fundamentals

• PE 100: Python Programming and Jupyter notebooks
• PE 101: Using Python packages & libraries, Conda 🚧
• PE 102: Numerical data analysis with Python 🚧
• PE 103: Software version control, testing, and debugging

Theme 2: Systems Fundamentals

• SF 100: Intro to Linux, commandline, and scripting
• SF 101: Containers and virtualization 🚧
• SF 200: Parallel computing concepts 🚧
• SF 201: Batch systems and compute farms with CHESS example 🚧

Theme 3: Distributed Computing and the CI Ecosystem

• DC 100: Distributed computing concepts 🚧
• DC 101: Scientific workflow management 🚧
• DC 102: Using science gateways with Open OnDemand example 🚧
• DC 200: Computing with CI ecosystem - ACCESS, PATh, Campus, Cloud 🚧

Theme 4: X-Ray Science S&E Software

• XS 100: Data collection, preparing input parameters, SPEC and CLI 🚧
• XS 101: Basic / on-the-fly data analysis, viewing detector images
• XS 102: Large-scale data analysis: from images to science parameters to interpretation 🚧
• XS 200: Metadata for data fidelity and systematic checks 🚧

Theme 5: Data Curation and FAIR

• CF 100: Intro to domain metadata standards, formats and repositories 🚧
• CF 101: Best practices for developing DMP 🚧
• CF 102: Metadata annotation and DOI 🚧
• CF 200: Curating data, code, workflows, and publishing 🚧