Location & Details
This workshop aims to teach students how to take prototyped analytic approaches and develop those approaches into tools that conform to FAIR (Findable Accessible Interoperable Reusable) standards and leverage HPC (High Performance Computing) environments. The workshop comprises a 3-month course designed for researchers with undergraduate/masters statistical backgrounds. Knowledge of at least one programming language needed with experience programming analytic (e.g. machine-learning, statistics, data science, computer science) tools. The workshop is currently optimized for R, so students working with R will benefit the most. The workshop can be taken by students of any age. The workshop will be capped at 16 students to ensure teaching is sufficiently enriched per student.
Schedule:
Tuesdays, June 13 - August 22, 2023
11 a.m. - 12 p.m.
131A Bruininks Hall or via Zoom
The workshop combines “active” learning sessions, called “workshops,” each week with readings and discussions on genomics topics. Students will be provided with background readings, video walkthroughs, and/or tutorials that will facilitate the hour-long workshops. Students are expected to spend 2 hours per week on the background material, and are encouraged to take advantage of office hours for asking questions and discussions.
Contact Monalisa Bilas (bilas003@umn.edu) with registration questions. This course is offered through the Genomic Data Commons at the University of Minnesota.
Detailed schedule information is available on the course flyer.