Overview

The program offers alternative project directions in visual safety analysis, generative design with building information modeling, or digital twins and immersive environments. Learners select a tractable problem and evaluate a prototype, simulation, or dataset-based analysis rather than attempting every direction in one project.

Learning goals and possible work

Proposed learning outcomes for this program example:

  • Select a bounded built-environment question and evaluation criteria.
  • Develop a prototype, simulation, or analytical workflow.
  • Explain performance, design trade-offs, and implementation limits.

Illustrative learning sequence

The sequence below illustrates how this program’s content can be organized. Topics, pacing, and project depth are adapted for each offering. This is not an archived record of a specific cohort’s weekly syllabus.

  1. 01Selecting a built-environment research track
  2. 02Literature, stakeholder needs, and problem definition
  3. 03Data, models, and appropriate research permissions
  4. 04Technical foundations for the selected track
  5. 05Building a baseline prototype or analysis
  6. 06Applying a selected AI or modeling method
  7. 07Evaluation scenarios and performance measures
  8. 08Interpreting results and design trade-offs
  9. 09Refining the work and documenting limitations
  10. 10Technical demonstration and research report

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