# DSS Computing Bootcamp 2026


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/>.

## Slides

| Session | Topic |
|:--:|----|
| 1 | [Introduction & Resources](https://dukestatsci.github.io/computing_bootcamp_2026/slides/01_introduction_and_resources.html) |
| 2 | [Reproducibility, Version Control, & Literate Programming](https://dukestatsci.github.io/computing_bootcamp_2026/slides/02_reproducible_workflows.html) |
| 3 | [Duke Compute Cluster (DCC)](https://dukestatsci.github.io/computing_bootcamp_2026/slides/03_dcc.html) |

## Materials

All source files for the slides and in-class activities are available in
the [GitHub
repository](https://github.com/DukeStatSci/computing_bootcamp_2026),
which you will learn to fork and clone during the bootcamp.

The literate programming activity uses the [UN votes
example](https://dukestatsci.github.io/computing_bootcamp_2026/examples/unvotes.html)
(`examples/unvotes.qmd` in the repository).