Submitted by Stephen Dunne
on
DXARTS 485 (Autumn 2022) is still open and we are seeking DXARTS and non-DXARTS students who are interested in differentiating bias from datasets, pose questions about machine learning algorithms, learning-by-doing methods for students from all backgrounds to bring their own disciplines in hands-on projects, and more!
DXARTS 485: Material & Cultural Bias in Algorithmic Systems
Times: Monday & Wednesday 2:30-4:20pm
Location: McMahon 8 (D062A)
Credits: 5
Add Code Required: contact Afroditi Psarra <apsarra@uw.edu> for add code
VLPA Course
Prerequisites: None,
Description: This project-based course examines the merging of data science and arts and design practices. Drawing from a range of theoretical texts and artistic works, and weaving together textile and statistics, literatures, we will read, analyze, and theorize bias. This class emphasizes the mingling of ideas, multiple interpretations, and translations to critically represent, express, and challenge biased datasets and skewed machine learning systems.
Please see the attached syllabus for details. Please reach out to Afroditi Psarra <apsarra@uw.edu> directly for add codes.
