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ACKNOWLEDGMENTS

Credits and references

Authors, creators, and organizations whose work informed this course.

Video production references

The instructional video structure for this course was influenced by the following tutorial creators.

Mark Brown Game Maker's Toolkit (GMTK)

The video "Unity tutorial for complete beginners" (2024, 46:30) was used as a structural reference for the course's instructional videos. Its patterns — project-driven learning, concept sandwiches, honest friction acknowledgment, deliberate incompleteness, and recap placement — informed how we organize and pace each video lesson.

YouTube: @GMTK

Authors and researchers

The following authors' work is assigned as required or optional reading across the four modules.

Ethan Mollick

Professor at Wharton, author of One Useful Thing. His models/apps/harnesses framework structures the course philosophy. Multiple articles assigned across modules.

Nick Hagar

Writing for Generative AI in the Newsroom. Research on coding agents and beat reporting workflows referenced in Modules 3 and 4.

Clare Spencer

Writing for Generative AI in the Newsroom. Research on multilingual newsroom workflows at La Voz, The Economist, and the BBC. Referenced in Module 3 (Video 9).

Jessy de Cooker

Writing for Generative AI in the Newsroom. Research on quote extraction and classification from newspaper articles. Referenced in Module 4 (Video 11).

Simon Willison

Developer and writer on AI tools. Optional reading in Module 2.

James Vincent

Optional reading in Module 4.

Cory Doctorow

Optional reading in Module 4.

Organizations and resources

Knight Center for Journalism in the Americas

University of Texas at Austin. Course host and publisher.

Center for Cooperative Media

Montclair State University. Instructor's home institution.

Generative AI in the Newsroom

Research platform. Multiple contributors' work assigned as course readings.

International Fact-Checking Network (Poynter)

Standards and resources for verification. Referenced in Module 2.

Bellingcat

Open-source investigation toolkit. Referenced in Module 2.

The Missing Semester of Your CS Education (MIT)

Shell and command-line fundamentals. Referenced in Modules 1 and 3.

Tools and documentation

Claude Code — Anthropic
Gemini CLI — Google
Codex CLI — OpenAI
Model Context Protocol (MCP) — Anthropic
Git — distributed version control
Node.js — JavaScript runtime

License

Course materials are licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). You may share and adapt for any purpose with attribution.