Computing for Cancer Informatics

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.

About this course

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.

Learning Objectives

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)

Encountering problems?

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.