DS BMED 218
Applied Data Science in Genomics and Biomedicine
Data Science in Biomedicine · 4 units · Graduate courses (200-299)
Introduction to computational approaches in bioinformatics, genomics, computational genetics, electronic health records, medical images, and other analysis of biomedical data. Topics include emerging methods and their applications to genomics, epigenomics, population genetics, analysis of health records within medical systems, medical imaging, and genomic technologies. Computational techniques include those from statistics and computer science. Satisfies capstone requirement. Students present their results.
Letter grading.
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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 218
- 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.