BIOL 1555/PHP 2561

Methods in Informatics and Data Science for Health

Description

The goal of this course is to develop a functional solution that uses informatics and data science approaches to address a biomedical or health challenge. 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. This course will provide a functional overview of methods commonly used to address challenges in biomedical and public health contexts.

Mastery of informatics and data science skills will be assessed by a final project done within a biomedical or health context. In pursuing the project, students will gain experience in the design, implementation, and evaluation of how a biomedical or health challenge can be addressed using informatics and data science. This course was developed as a Course-based Research Experience (CURE) and is designated as a Collaborative Research and Scholarly Experiences (COEX), where students will gain experience with the scientific method, its application, and presentation. For undergraduates, the final product of this course will be a poster. Graduate students will also develop a full manuscript.

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Schedule - Spring 2022