Computing for Big Data

Big data is everywhere, from omics and health policy to environmental health. Every single aspect of the health sciences is being transformed. It is hard to navigate and critically assess tools and techniques in such a fast-moving big data panorama. This course gives a critical presentation of theoretical approaches and software implementations of tools to collect, store, and process data at scale. The goal is not just to learn recipes to manipulate big data, but to learn how to reason in terms of big data, from software design and tool selection to implementation, optimization, and maintenance.