This course reviews data practices in the sciences from the perspectives of multiple scientific domains. Topics include data sources, management, lifecycles, description, organization, workflows, repositories, and analytical tools for the sciences. Additionally, students explore newly developing technologies and analytical practices including data visualization and big data methods.
This course is not being offered this semester.
There is not a syllabus available for this course.