CS 527 Data Science
Prerequisites: CS 530 or BIFX 530 (concurrent enrollment is permitted); or Permission of the instructor
This course provides an overview of Data Science, covering a broad selection of challenges and methodologies for working with big data. Topics to be covered include data collection, integration, management, modeling, analysis, visualization, prediction, and informed decision making. Students work on hands-on projects and case studies using real data sets from a variety of domains including science, business, engineering, social sciences, and life sciences.
Cross Listed Courses
Double-numbered course; offered with undergraduate level
CS 427
Offered
Spring Semester