- You may find the spuRs package helpful for some exercises and case studies.

- Steven will be available on Sunday, Tuesday, and Thursday evening from 8:00 until 9:00 to help you with the material for this course.

- R Project
- R Studio Cloud - some students really like this version of R Studio
- Quick-R
- An Introduction to R
- Open Intro

- August 31
- Generating Pi from 1000 numbers - Thanks for the interesting link Andrew!

- September 2
- September 4 - our first problem session
- September 7
- September 9
- September 11 - Problem Session
- September 14
- September 16
- September 18 - Problem Session
- September 21 - Problem Session and lab time in breakout rooms for Probability Project
- September 23 - Small Group Project #1 Presentations
- Shanti Silver and Ryan Schultz
- Michael Morgan
- Josh Koretz, Sam Conseco, and Daniel Wu

- September 25 - Small Group Project #1 Presentations
- Isabella Femia and Josh Katz
- Rebecca Lawson
- Claire Murray and Kaitlyn Griffith
- Olivia Dion and Fiona Dunn

- September 28 - Small Group Project #1 Presentations
- Sarah Pazen and Andrew Nguyen
- Ken Wu
- Becca Elbert
- Amir Brivaniou

- September 30 - Small Group Project #1 Presentations
- Meg Ellingwood
- A. Shaikh
- Bella Creel

- Your solutions must be submitted electronically to your Google Drive folder. You may use any software that you want, but please submit a PDF file with your written solutions. For example, the name of the file for the first homework assignment should be HW1-
*yourname*.PDF.

- Activity #1 - due on Wednesday, September 2
- HW #1 - due on Wednesday, September 9
- HW #2 - due on Monday, September 14
- Activity #2 - due on Wednesday, September 16
- HW #3 - due on Wednesday, September 23
- Activity #3 - due on Wednesday, September 23
- Small Group Project #1 - presentations will begin on Wednesday, September 23 - PPT or PDF is due on the day of your presentation
- Create an R script or Markdown file that applies at least three probability distributions to pratical problems of interest to you. You may work by yourself or with a partner on this project. Ideally, your solution will have a theoretical and a simulated solution. However, if the theoretical solution is unknown (or unknown to you) then you can stick with simulation. You must include at least one continuous distribution and at least one discrete distribution during your presentation. Presentations to the class should last from 7 to 10 minutes. My hope is that we can begin these presentations next Wednesday. If you prefer to go early or late in the presentation order, please let me know. Otherwise, the order of presentations will be decided randomly.

- Practical Data Science for Stats - a PeerJ Collection