Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
Online Sync Sessions are an integral part of the online learning experience. Additional information about learning concepts and assignments may be discussed and sync sessions offer valuable opportunities for students to interact with their faculty and peers during the term. We encourage all students to attend live, but if they are unable to, sync sessions will be recorded and posted within Canvas to allow for an asynchronous model of success as well.
MSDS 400-DL : Math for Modelers
Description
Students learn how to build and interpret mathematical models of
real-world phenomena in many areas. The course covers linear
algebra, discrete mathematics, calculus and graph theory, with an
emphasis on applications in data science and data engineering. It
provides an introduction to these fields of mathematics prior to
enrolling in courses that assume understanding of mathematical
concepts.
As of fall 2023, course reverts back to original title, "Math
for Modelers."
