Machine Learning

Division: Natural Science and Math

Department: Mathematics

Course: MATH 3480

Title: Machine Learning

Prerequisites: Math 3080 and (either Math 2270 or Math 2250) with a C or better in each course. Some familiarity with a program language including a basic understanding of data structures and algorithms.

Description: This course introduces the theory and application of machine learning, sometimes referred to as artificial intelligence. Students who take this course will understand and be able to deploy basic supervised and unsupervised learning techniques including” decision trees, neural networks, kernel methods, support vector machines, and probabilistic methods. The course will be taught using Python, R, Matlab, or a similar programming language.

Courses Taught Fall 2025

Courses Taught Spring 2026

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