CS 403 - Discovering Information in Data

(3.00 cr.)

Students use tools for acquiring, cleaning, analyzing, exploring, and visualizing data. This course teaches students how to make data-driven decisions and effectively communicate results. A major component of this course is learning how to use python-based programming tools to apply methods to real-life datasets including those that arise from physics applications. Written or electronic permission of the instructor required. Fulfills the natural science core requirement. Does not count toward the data science, mathematics, and/or physics minors for computer science majors. Closed to students who have taken DS 303 , MA 303 , or PH 303 .

Prerequisite: CS 312 .
Sessions Typically Offered: Fall
Years Typically Offered: Annually

Interdisciplinary Studies: IEN