CS 487 - Big Data

(3.00 cr.)

Covers a range of topics from big data storage and processing to large-scale machine learning libraries. As a hands-on programming course, students learn the details of the design and administration of a cluster, as well as how to apply these details to process big data. By the end of the course, students should understand the challenges associated with big data, and the tools available to support answering big data questions.

Prerequisite: CS 212 or CS 403 or DS 303 or MA 303 or written permission of the instructor.
Sessions Typically Offered: Fall/Spring
Years Typically Offered: Varies

Interdisciplinary Studies: DS