CHEM C125Machine Learning and Applications in Chemistry
Chemistry and Biochemistry · 4 units · Undergraduate upper division (100-199)
(Formerly numbered 125.) Comprehensive introduction to machine learning (ML) algorithms and their applications in the field of chemistry and biochemistry. Study is designed to provide students with both the theoretical understanding of ML algorithms and the practical skills needed to apply these techniques to solve real-world problems in chemistry. Through lectures, hands-on laboratories, and project work, students learn to analyze chemical datasets, predict chemical properties, and develop models for chemical behavior using ML. Concurrently scheduled with course C225.
P/NP or letter grading.
When it runs
Not on the schedule for any of Fall 2025 through Spring 2027. UCLA publishes only that window, so this does not mean the course is gone — check the official listing.
Requisites
Official UCLA wording
Requisite: course 14C or 30A, with grade of C– or better.
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.