Each student will develop a lesson and teach the class about an R package, specialized analysis, or data visualization approach that they have or will apply to their own research. Your lesson should include:

  1. An introductory lecture/walk through of the tool, analyses, or visualization.
    • Aim for ~40 minute presentation to allow time for other lessons and for folks to work through exercises at the end of the session.
  2. Detailed lecture notes.
    • written in Rmarkdown
    • posted to you Github webpage in html format.
  3. An exercise where folks can practice implementing the to tool, analyses, or visualization.
    • written in Rmarkdown
    • posted to you Github webpage in html format.
    • Where appropriate provide a sample data set (ideally real data).
    • Provide assistance to students to help them complete the exercise

Please select your topic and confirm it with me at least one month before your scheduled presentation.

Grading

Item Points
Lecture presentation 40
Lecture notes 40
Exercise 20
Total 100

For the current schedule of lesson presentations check the Sign up sheet.