Session by session
- Session 71 · Ask & understandWeek 36
Write a data-analysis task specification
Evidence: a question, sketch or new vocabulary
- Session 72 · Build & designWeek 36
Create a Markdown recipe and local script checklist
Evidence: a design draft, dataset or build
- Session 73 · ImplementWeek 37
Run it on two supplied CSV files
Evidence: a working version, explained once
- Session 74 · Test & improveWeek 37
Reject absent units or missing columns
Evidence: a test log with at least one failure
- Session 75 · Explain & reflectWeek 38
Version the recipe and provide evidence
Evidence: an individual explanation
- Local Python/text editor
- CSV files
Two valid files and one malformed file; no silent guessing.
A model, an evaluation study or an AI-checking workflow.
Completion needs the artefact, an honest test log, an individual explanation and no open safety or privacy issue.
Projects in the same block
- RoboticsG09-P13
Safe Data-Display Instrument
A self-contained sensor display for the tracker bench.
Sessions 61-65Innovation only - RoboticsG09-P14
Repeatability Test Fixture
A repeatability test rig and results table.
Sessions 66-70Innovation only - AIG09-P15
Reusable Analysis Workflow
A reusable analysis workflow with input checks and a traceable output.
Sessions 71-75Innovation only - IntegratedG09-P16
AI-Assisted Solar Research Exhibit
A supervised AI-and-solar exhibit with limited, supported claims.
Sessions 76-80Innovation only
For school leadersChoose a starting point.
Build from evidence.
Pick the classes and a plan. We map the timetable, kit and safety checks with you, then pilot one class first.
- Prospectus and class-wise plan
- Kit and readiness check
- Pilot one class first
- Evidence at every milestone
Let's plan your pilot.
Share a few details and we will send the right plan for your classes.