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. 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