Module 5 mastery check — Generative Design & Space Planning
8 questions · pass mark 70%. Answer all, then see your score and a quick why for each.
01You generate a tagged, dimensioned floor plan in Maket.ai from a plain-English brief. What is the safest way to treat its dimensions and code compliance?
02Which task is the genuinely useful, low-risk use of an AI floor-plan generator?
03In optioneering with TestFit or Forma, what is the human designer's irreplaceable job?
04A developer's brief is 'maximise saleable units'. You run it as the only goal and the tool returns a daylight-starved slab. What went wrong?
05You must angle every facade louvre exactly to the sun path and be able to justify the logic to a code official. Which approach fits best?
06When do ML/generative methods beat rules-based parametric design?
07Autodesk Forma and Snaptrude give you a fast feasibility read — sun/wind/noise, a programme and a stacked massing with a FAR. How should you treat that FAR before sending it to a developer?
08Across this whole module — floor plans, optioneering, parametrics and feasibility — what is the single unifying principle?
