This website complements the class Canvas site.
Mondays and Wednesdays 2:45pm - 4:00pm
(February 8 - April 23, 2021)
Optional lab sessions: Fridays 12:25-2:20pm
Hands-on practice sessions in groups and with TA support
As datasets grow larger and more complex across all areas of science, computational skills are increasingly in high demand. This course introduces a series of practical tools that enable researchers to spend less time wrestling with software or repeating error-prone manual data processing and more time getting research done in efficient and transparent ways that facilitate collaboration and reproducibility. We will work in R/RStudio, primarily with the tidyverse packages and with Git and GitHub integration. The course emphasizes practical skill development and will be structured around hands-on (the keyboard) learning.
By the end of this course, students will be able to: