Overview
The course ends the way real work does: you ship something. Over three sessions you will design, build, and present a project that uses AI meaningfully — a study aid, a creative piece, or a productivity workflow — and report honestly on what the AI contributed, where it failed, and any ethical issues that came up.
Learning objectives
- Scope an achievable AI-assisted project and carry it to completion.
- Apply tools from across the course — writing, media, data, research, automation.
- Evaluate and report the AI's contribution, its errors, and ethical implications.
- Present your work clearly in a short talk with a live demo or artifact.
Session agenda
- Nov 12 (S8)Design workshop
Pitch your idea, get feedback, lock your scope, and start building with instructor support.
- Nov 19 (S9)Build & feedback session
Open studio: build, hit problems, get unstuck. Mid-point check-in with a peer review pass.
- Nov 26No class
Thanksgiving break — good week to finish your build.
- Dec 3 (S10)Showcase
Final presentations: 5 minutes per student — what you made, what the AI did well and badly, and what you would do next.
Materials
- Your project idea paragraph from Session 7 homework.
- Any tools from the course — plus anything new you want to try.
- Presentation template (provided) for the final talk.
Homework
Complete your capstone project and prepare your 5-minute presentation, including an honest assessment of the AI's contribution and any ethical implications that arose.
Detailed slides, lab worksheets, and demos for this session are in progress and will be posted here before class.