DS BMED 205
Machine Learning Applications in Biomedicine
Data Science in Biomedicine · 4 units · Graduate courses (200-299)
Introduction to machine learning analysis of biomedical data, with focus on formulating interdisciplinary problems as computational problems and then solving those problems using machine learning techniques and computational interdisciplinary research in genetics. Fundamentals of machine learning and applications to genetics and health records.
Letter grading.
When it runs
Checking the Schedule of Classes…
Requisites
Official UCLA wording
Requisite: course 200 or equivalent.
BruinTree reads · Prerequisite
confidence 1.00 · from UCLA’s structured dataRequires
Everything that has to come before this course, not just the courses named in the requisite above.
DS BMED 205
- DS BMED 200Foundations of Data Science
1 direct requisite. The whole upstream is here — 1 course over 1 level. Every course here opens its own tree.
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.