DataLucence::Images
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Course Description
Increasingly, research in the biosciences involves data in digital formats and scientists spend a significant fraction of their time building and using software to harvest insight from digital data. A central goal of this course is to expose students to concepts adopted from computer science and data science regarding data management, data curation, and analytical workflows for analyzing digital data. We will focus on digital images since this image type is used in diverse sub-fields in the biosciences. The course will consist of a two-day workshop/lab¿SoftwareCarpentry¿and six DataLucence::Images+Hackathon class meetings.
Grading Basis
MOP - Medical Option (Med-Ltr-CR/NC)
Min
2
Max
2
Course Repeatable for Degree Credit?
No
Course Component
Lecture
Enrollment Optional?
No
Programs
BIOS254
is a
completion requirement
for: