Using various inputs, the student artists’ unique visualizations allowed their audiences to engage with topics such as representation in STEM, biosensorial information and weather forecasts through new, interesting approaches. The artworks on display were fresh, and for the most part, simply effective. The course explores algorithmic art-making practices, focusing specifically on the visualization tool Processing, a coding language built on Java for artists and designers. I was particularly struck by the work created for “ARTSTUDI 163/ARTINST 142: Drawing with Code,” taught by Associate Professor of Art & Art History and Associate Professor by courtesy of Computer Science Camille Utterback. Students in fall quarter Stanford Art Practice courses displayed their imaginative and innovative work at an open studio event on Dec.
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