Applied Data Science in Genomics and Biomedicine

4 units · Graduate courses (200-299)

Lecture, four hours; discussion, two hours. Requisite: course 200 or equivalent. 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.