Sample syllabus language
Students will learn to translate cartographic judgment into structured AI-assisted design workflows, critique generated maps, and document reproducible revisions.
Adoption support
A lightweight kit for teaching prompt cartography with chapters, labs, rubrics, and classroom discussion.
Students will learn to translate cartographic judgment into structured AI-assisted design workflows, critique generated maps, and document reproducible revisions.
Submit an intent brief, prompt brief, generated draft, critique, revision chain, and reflection on uncertainty and accessibility.
| Chapter | Workflow focus | Suggested lab | Assessment |
|---|---|---|---|
| 1 | Intent & audience | What Is a Map When Language Is the Interface? | Intent brief |
| 2 | Prompt brief | Vague Idea to Cartographic Prompt Brief | Structured prompt |
| 3 | Critique | Critique an AI-Generated Thematic Map | Ranked findings |
| 4 | Revision prompts | Prompt Revision Chain for a Web Map | Revision sequence |
| 5 | Reflection | Part I Capstone | Reproducibility note |
Intent clarity, data awareness, cartographic strategy, critique quality, accessibility, reproducibility.
What does the model assume? What does the map persuade us to notice? What remains undocumented?
Pair every final map with a short uncertainty disclosure and accessibility check.