Exploring AI and Neural Networks in Design: Workshop
Link to Course Introduction Page
Winter 2021
Claire Djang [instructor]
Gia Jung [instructor]
Learn to use Machine Learning in your design process, and start thinking about the new role and agency of designers in the age of algorithms, data, and fast machines.
The course will introduce machine learning for designers in three parts: principles of generative learning in its high-level overview, design applications of such methods in the form of projects, and interactive workshop on using machine learning in design.
For tangible skills, we will learn how to read machine learning codes and be able to use Python and other open source libraries for designers. If time allows, we will think about strategies to collect and curate data for generative learning for AI libraries in Architecture, Urban Design, and Design at large. On a more conceptual level, we will actively think about the new role of designers in data curation, collection, and presentation; human-computer-interaction interfacing design and AI; and new agency of designers in guiding the model and applying algorithms for creative and sociotechnically productive purposes.
Check out student results on gsdAI [website]
48 Quincy St. Cambridge, MA 02138