CSSS/SOC/STAT 321

Case-Based Social Statistics I

University of Washington

Important links

• Canvas Page (enrolled students only)
• Syllabus
• Homework Instructions and grading rubric.
• Peer Review Instructions and suggestions for reading code.
• Class Mailing List
• Class Slack Channel
• R and RStudio Installation Instructions
• Enabling compilation of packages

Helpful resources:

• R for Data Science online textbook by Garrett Grolemund and Hadley Wickham. One of many good R texts available, but importantly it is free and focuses on the tidyverse collection of R packages.
• Introduction to R Workshop, recorded Oct. 11, 2018, with companion webpage.
• Intermediate R Workshop, recorded Jan. 31, 2019, with companion webpage.
• What They Forgot to Teach You About R by Jenny Bryan and Jim Hester. Great information on best practices for managing projects and R itself.
• Teacups, Giraffes, and Statistics, an illustrated and interactive introduction to R and statistics.

Course Material

Introduction

Week 1

Lecture 1: Logistics and Introduction to R - 1/7/20

Lecture 2: Causality I - 1/9/20

• R script from in class
• Reading:
  • Imai, Ch. 1

Lab 1: R Exercises - 1/8/20

• Template
• Key

Problem Set 1: Due 1/14/20

• Template
• Key

Week 2

Week 3

Week 4

Week 5

Week 6

Last day is 3/13/20 Finals 3/14/20 - 3/20/20