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Spring 2018
Feb 27, 2021
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BIOL 1555 - Methods in Informatics and Data Science for Health
This course will teach informatics and data science skills needed for research in public health and biomedicine. Particular emphasis will be given to formalisms and algorithms used within the context of biomedical research and health care, including those used in biomolecular sequence analysis, electronic health records, clinical decision support, and public health surveillance. General programming language skills will be taught (in Julia) within these contexts. Mastery of informatics and data science skills will be assessed by a final project done within a health or biomedical context. Enrollment: 25 students. For biological science concentrators, graduate students enroll in PHP 2561.
1.000 Credit hours
1.000 Lecture hours

Levels: Graduate, Undergraduate
Schedule Types: Primary Meeting

Biology (Bio) Department


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