MATH 2071 - Mathematics for Data Science

Credit(s): 3
Lecture Hour(s): 3
Lecture Hours Schedule Type: Lecture
Tutorial Hour(s): 1

This course introduces topics from discrete mathematics and probability that are important in the study of data science. Topics include logic, relations, combinatorics, graph theory, and Bayesian probability. Monte Carlo simulations are also introduced and implemented through the use of relevant programming languages.

Prerequisite(s): One of MATH 2233, MATH 2234, MATH 2235, MATH 2333, MGMT 2262 or ENVS 1105, and both MATH 1200 and MATH 1203, each with a grade of C- or higher.
General Science Option