This website complements the class Canvas site.
Instructor: Associate Professor Nina Overgaard Therkildsen TA: Ph.D. Student Jaime Ortiz Pachar
Lectures:
Tuesdays and Thursdays 10.10am - 11:25am (August 27 - November 5, 2024),
Morrison Hall 163
Optional lab sessions:
Hands-on practice sessions in groups and with TA support
Thursdays or Fridays 12:20pm - 2:15pm, Kennedy Hall
101
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: