Patrick J. Burns

Associate Research Scholar, Digital Projects @ Institute for the Study of the Ancient World / NYU | Formerly Culture Cognition, and Coevolution Lab (Harvard) & Quantitative Criticism Lab (UT-Austin) | Fordham PhD, Classics | LatinCy developer

Statistical Programming for Ancient World Study

Taught at the Institute for the Study of the Ancient World (ISAW-GA 3003), Spring 2025. This course met 1 time per week in a 90-minute block.

Course Description

This two-credit course introduces students to statistical programming in R with a focus on working with archaeological data, historical-language philological data, and other types of ancient-world data. The course uses Thulin’s Modern Statistics with R: From wrangling and exploring data to inference and predictive modelling book, supplementing the examples used here with datasets directly relevant to ancient world study. Topics covered include data collection and transformation, exploratory data analysis and visualization, and basic introductions to regression models and predictive models, though the primary focus of the course will be instructing students on best practices for working with R for quantitative research. Weekly readings will supplement coding assignments with special topics related to the role of statistics in archaeology and philology. For the course’s final project, students can either reproduce a quantitative analysis from their area of ancient world research or develop one of their own. There are no prerequisites for this course.