Course

Course Difficulty: Undergraduate

STOR 323I -- Machine Learning: Ethics and Society (Fall 2026)

Technical and philosophical perspectives on the ethical and social consequences of machine learning.

Prerequisites: Probability and statistics Calculus and linear algebra +1
Course Difficulty: Advanced undergraduate / master's

STOR 565 -- Machine Learning (Fall 2026)

Mathematical foundations, implementation, and modern applications of machine learning.

Prerequisites: STOR 215 or STOR 315 or MATH 381 STOR 435 or STOR 535 +1
Course Difficulty: Beginner

STOR 565 -- Machine Learning (Spring 2026)

Spring 2026 course archive.

Prerequisites: Markdown
STOR 323 -- Machine Learning: Ethics and Society (Fall 2025) featured image
Course Difficulty: Beginner

STOR 323 -- Machine Learning: Ethics and Society (Fall 2025)

Fall 2025 course archive.

Prerequisites: Markdown