Methods Camp
University of Texas at Austin, Department of Sociology
Location: RLP 3.106
Course Instructor: Casey Breen (Email:
casey.breen@austin.utexas.edu)
TA: Leng Seong (Email:
lc46786@my.utexas.edu)
This one-week course (5 sessions) is designed for incoming graduate students. It focuses on foundational math, statistics, and R programming skills while emphasizing reproducible workflows. Each session is organized around lectures and in-class exercises.
Course Materials
| Day | Category | Topics | Lecture Slides | Problem Set | Solutions |
|---|---|---|---|---|---|
| Day 1 | Math/Stats |
Functions & Operations Ratios & Proportions Rates and Percentages |
Slides | Problem Set | Solutions |
| Day 2 | Math/Stats |
Random Variables Distributions Regression |
Slides | Problem Set | Solutions |
| Day 3 | Coding |
Intro to R & RStudio R Programming Basics Vectors & Data Frames |
Slides | Problem Set | Solutions |
| Day 4 | Coding |
Data Import/Export Data Manipulation Best Practices |
Slides | Problem Set | Solutions |
| Day 5 | Workflow |
Git & GitHub LaTeX & Quarto Zotero |
Slides |