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. 9th.

Week 1 - Laying the groundwork - August 28
  • 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 4
Week 3 - Wrangling your data - September 11
Week 4 - “Endless graphs most beautiful” - September 18
  • 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 25
Week 6 - When is something significant? - October 2
Week 7 - October 9
  • FALL BREAK NO CLASS
Week 8 - Do short people have smaller feet? - October 16
Week 9 - The Analysis of Variance - October 23
Week 10 - October 30
  • PRACTICAL EXAM 1
Week 11 - Can you have too much data? - November 6
Week 12 - What to do when you have too many variables - November 13
Week 13 - How can you see all your data on just one graph? - November 20
Week 14 - No class - Thanksgiving Break - Nov 27
Week 15 - Are shapes just numbers ?? - December 4
Week 16 - Why are we more like chimps than zebras? AND When your data are NOT normal - December 9 (THIS IS A TUESDAY, GW’s DESIGNATED THURSDAY)
Exam II - during finals week

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