MATH 419 - Data Science II

Credit(s): 3

DATA SCIENCE II
Component: Lecture
Advanced topics in data science, with a focus on modern machine learning. Includes sophisticated mathematical formulations and analyses of methods, drawing on prior experiences from throughout the curriculum, as well as the use of software that implements the methods. Students are expected to work on open-ended projects and to communicate their findings clearly, using disciplinary-standard tools and style.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option

PREREQ: MATH 219, MATH 243, MATH 349, MATH 350.

Capstone: Course-Based Research 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