The aim of the course is to unlock and channel the creative potential of architects in the era of AI. This will be done mainly by providing valuable resources, and methods for quantitatively curating and evaluating visual architectural data. The full name of the course is AI in Architectural Design: Quantitative Analysis of Architectural Imagery. This course is given at the faculty of Architecture and the Built-Environment (Delft University of Technology) as a 5EC course in the third quarter of the first year of the Architecture Master's track: Master 2, Q3. Flyer.
- Instructor: Seyran Khademi.
- Assistants: Casper van Engelenburg, Fatemeh Mostafavi, Pablo G. Morato.
| Date | Topic |
|---|---|
| February 16 | Introduction Tutorial 1: Code canvas |
| February 23 | Computer vision Tutorial 2: 3D to 2D |
| March 1 | Floor plans List of papers Tutorial 3: Building blueprint |
| Marh 8 | The project Introduction to the projects Street view imagery |
| March 15 | Context & outside Tutorial 4: Beyond boundaries |
| March 22 | Building ML Reinforcement learning Tutorial 5: Learning from buildings |
| April 8 | Architectural harmony Interpretable AI Tutorial 6: Architectural harmony |
| April 19 |