Spring 2026
| Logistics | âšī¸ |
|---|---|
| đ¤ Instructor | Carl Boettiger |
| đ Location | Room 166 - Social Sciences Building |
| đ Days | Monday / Wednesday |
| â° Time | 10:00 - 11:30 |
Overview
Welcome to the Spring 2026 semester of ESPM-288: Reproducible & Collaborative Data Science. This year, we are diving deep into the Agent-First Methodology, exploring how AI agents can augment our ability to solve complex environmental problems. We will be using the R ecosystem (duckdbfs, ellmer, shiny) to architect, prompt, audit, and deploy robust data solutions.
Course Materials
- Syllabus
- Compute Setup
- Schedule (coming soon)