This course was created from this github template.
You can see the rendered course material here: https://jhudatascience.org/Computing_for_Cancer_Informatics
If you would like to contribute to this course material, take a look at the getting_started.md.
The course will cover the key underlying principles and concepts in computing. It will cover concrete discussions of the differences between cloud and local computing. The course will highlight a number of computing options and etiquette for using shared resources.
This course is intended for researchers with limited to intermediate informatics expertise.
This course will teach learners to:
- Recognize basic computing terminology and understand the basics about how computers and computing systems work
- Understand what a server is and the differences between cluster, grid, and cloud computing
- Be aware of the appropriate etiquette for shared computing resources
- Recognize available shared computing resources for multiple data modalities
- Recognize shared computing resources designed for specific types of data
- Compare and make informed decisions about computing resources (including economic considerations)
If you are encountering any problems with this course, please file a GitHub issue or contact us using this feedback form.
All materials in this course are licensed CC-BY and can be repurposed freely with attribution.