Data Oriented Computing and Analytics
Prerequisite: Instructor permission Practical hands-on introduction to data science and data analytics tools and acquiring, storing, manipulating, and exploring data - both big and small. Examples from bioinformatics (e.g., genomics), health care informatics, urban and regional planning, astronomy and data journalism. Extensive writing of formal reports.
Interdisciplinary, "DSA501" (2018). Curriculum Proposals. 827.