Bell ringer: start here (while attendance happens)
Prediction check · 5 min

You've seen the Tōhoku scenario. Today you'll see the Anatolian and Merapi demos before choosing your own.
Task: Predict: which of the three is hardest to defend a city against, and why?

Answer in your Field Notebook, dated.

Today we are learning

I have my portfolio scenario locked AND Iteration #1 complete, with a predict-before-run entry and an after-run reflection in my journal.

I can: tick as you go (for you, not for marks)
full course map →
AI Partners available for today's work
Remember: every AI use gets documented. → AI Documentation Template

This block is a Phase 6 stub

Full content lands when Unit 3 is built out further.

Block 6 opens with Anatolian and Merapi sim demos, then students lock their Engineering Portfolio scenario (matched where possible to their Hazard Profile city) and run Iteration Attempt #1 in the Tectonic City Builder. Predict-before-run journal scaffold required (in the U3 Student Scaffolds packet, distributed via Classroom).

Engineers split problems before they solve them. Today you'll also decide which pieces get AI help, and defend the split.

Open your Class Notebook and type today's entry header as Heading 2:

A: Dec 2 | U3 B6 | Scenario Choice + IterationB: Dec 3 | U3 B6 | Scenario Choice + Iteration

What you're submitting today

Division-of-Labour Plan (with Iteration #1)

Before you build: break your scenario's engineering problem into steps, and mark each step: AI-assisted (which partner, doing what) or yours alone (and why). One page, template in Classroom. This plan gets checked against what actually happened when the iteration ends. Honest planning beats impressive planning.

Submit via Google Classroom (link posted in August)