Computing bootcamp materials for incoming Ph.D. and M.S. students in the Department of Statistical Science at Duke University. These materials are adapted from those developed by Shawn Santo, Alex Fischer, Mine Çetinkaya-Rundel, and Colin Rundel.
The rendered version of these materials is available at https://dukestatsci.github.io/computing_bootcamp_2026/.
| Session | Topic |
|---|---|
| 1 | Introduction & Resources |
| 2 | Reproducibility, Version Control, & Literate Programming |
| 3 | Duke Compute Cluster (DCC) |
All source files for the slides and in-class activities are available in the GitHub repository, which you will learn to fork and clone during the bootcamp.
The literate programming activity uses the UN votes
example
(examples/unvotes.qmd in the repository).