Quantitative Aesthetics : Introduction to Machine Learning for Design

This course introduces concepts and techniques from signal analysis, computer vision and machine learning that are related to the retrieval, processing, analysis and generation of sensory information. The course places emphasis on the development of practical skills that would enable students to interface at a deeper level with popular programming libraries. In addition, we are going to explore how the way text, audio and images are represented within these frameworks, that provide a unified system to think about the interface between human and machine perception as well as their intrinsic aesthetics. The course is structured as a series of workshops starting with a basic introduction to programming in python and building up towards using the popular pytorch ML library. Students will design and develop a real time interactive installation as their final project.

The first day of GSD classes, Tuesday, September 5th, is held as a MONDAY schedule at the GSD. As this course meets on Monday, the first meeting of this course will be on Tuesday, September 5th. It will meet regularly thereafter.