Description
Over the course of thirteen weeks, students explore how form emerges from the interplay between physical processes, algorithmic systems, and contemporary AI image models. The course begins with hands-on experimentation, generating textures and patterns through both intuitive making and computational techniques. These evolving materials become inputs for AI systems, where shifts in prompts or parameters open new aesthetic and narrative directions.
As the semester progresses, students examine how sequences, moods, and storylines develop while navigating latent spaces and shaping generative behavior. A key focus of the course is understanding how workflows form and evolve, how materials move from physical creation to digital interpretation to AI transformation. Throughout the semester, students build a personal catalog of images, studies, and experiments that documents the development of their process over time.
Alongside digital exploration, the seminar explores methods of translating