MATH 219 - Data Science I

Credit(s): 3

DATA SCIENCE I
Component: Lecture
Introduction to methods in data science. Describes the representation and exploration of data, classification, regression, clustering, and network science, with particular attention to mathematical formulations and foundations. Includes hands-on use of software tools and applications to real-world datasets.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option

PREREQ: MATH 241 and CISC 106.

Course Typically Offered: Spring

General Education Objectives:
GE1A: Read Critically GE1B: Analyze Arguments and Information GE1C: Engage in Constructive Ideation GE2A: Communicate Effectively in Writing GE2B: Communicate Orally GE5A: Reason Quantitatively GE5B: Reason Computationally GE5C: Reason Scientifically