MATH 277Foundations of Machine Learning and Artificial Intelligence
Mathematics · 4 units · Graduate courses (200-299)
Introduction to mathematical and theoretical aspects of machine learning and artificial intelligence. Topics include probability and high-dimensional statistics, neural networks, deep learning, artificial intelligence, modern architectures, approximation theory, optimization, and error estimates.
S/U or letter grading.
When it runs
- Fall 2026
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
Official UCLA wording
Requisites: courses 115A, 131A, or equivalent.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.