Course Schedule

Homework is due at beginning of class on the day listed. You are expected to read all reading assignments before class on the day they are assigned.

Further details on class project, due Dec. 10th.

Week 1 - Laying the groundwork - August 27
  • Instructor Lecture / Demo
    • Introduction to the Course
    • Introduction to R Note: this is an interactive tutorial. You must download the zipped directory, unzip it, open the .Rmd file in R Markdown, and run the tutorial (you must have learnr package installed)
  • Homework (due today)
Week 2 - Laying the groundwork continued - September 3
Week 3 - Wrangling your data - September 10
Week 4 - “Endless graphs most beautiful” - September 17
  • Homework (due today)
  • Reading
  • Instructor Lecture / Demo
    • Programming concepts Note: this is an interactive tutorial. You must download the zipped directory, unzip it, open the .Rmd file in RMarkdown, and run the tutorial (you must have learnr package installed)
    • Visualizing Data This is an interactive tutorial. Download and run on your own computer.
Week 5 - What are the chances? - September 24
Week 6 - When is something significant? - October 1
Week 7 - Do short people have smaller feet? - October 8
Week 8 - The Analysis of Variance - October 15
Week 9 - October 22
  • PRACTICAL EXAM 1
Week 10 - Can you have too much data? - October 29
Week 11 - What to do when you have too many variables - November 5
Week 12 - How can you see all your data on just one graph? - November 12
Week 13 - Are shapes just numbers ?? - November 19
Week 14 - No class - Thanksgiving Break - Nov 26
  • Enjoy your week!
Week 15 - Why are we more like chimps than zebras? AND When your data are NOT normal - December 3
Exam II - during finals week

For reference, here is a link to GW’s Academic Calendar