CA5201 - Advanced Architectural Design Studio: Digital Architecture

Offering Academic Unit
Department of Architecture and Civil Engineering
Credit Units
6
Course Duration
One Semester
Course Offering Term*:
Semester A 2024/25

* The offering term is subject to change without prior notice
 
Course Aims

Recently, with the rapid development of Stable Diffusion and its series of control plugins, Artificial Intelligence (AI) has undergone a qualitative mutation in the field of architectural design. In this course, we will use the latest generative AI techniques, train and practice creative AI models for architectural design. We will start with the theoretical introduction and literature interpretation of artificial intelligence combined with design, covering architecture, cities, structures, art design, and other fields. At the same time, we will introduce the computer theory of AI and feature engineering to expand students' knowledge systems. Next, we will introduce the training and application of generative AI models for the deployment of Stable Diffusion, LoRA, and ControlNET. Finally, students will work on a personal design and research project to train and test AI models with specific architectural design topics.


Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 100%
 
Detailed Course Information

CA5201.pdf