BST 262 - Computing for Big Data





Description: Big data is everywhere, from Omics and Health Policy to Environmental Health. Every single aspect of the Health Sciences is being transformed. However, it is hard to navigate and critically assess tools and techniques in such a fast-moving big data panorama. In this course, we are going to give 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 learn how to reason in terms of big data, from software design and tool selection to implementation, optimization and maintenance.

Credits: 2.5

Prerequisite(s): HSPH: HSPH Degr + PHD Stu

Location: Kresge Lower Level 6 (HSPH)

bst262_syllabus_choirat.pdf89 KB