Art and Machine Learning
2023 Spring 10335 | 10615
TR 7:00-8:20PM TEP1403 | cmu.zoom.us/my/kangeunsu
Carnegie Mellon University
Professor: Eunsu Kang [eunsuk] | Office: Gates 8231, Classroom, Zoom | Office Hours: TR 8:20-8:50PM Classroom, By appointment
TAs: Priyank Bhandia [pbhandia], Malavika Krishnamurthy [malavikk], Sophia Kolak [sdkolak], Sayali Deshpande [sayalidd], Shivani Butala [sbutala]
This course is project-based and aims to help students through “learning by making”. For every project, examples and methods will be introduced and students will acquire knowledge by making artworks, creative applications, or developing artmaking algorithms. The most successful students in the class would be sufficient in Python, have passion and desire for creative practices, have an introductory level of understanding of Machine Learning, and be open to discussions on conceptual development and artistic value of their projects. Students do not need to have pre-existing experience of ML algorithm development or art practice.
This is a 12 unit course and we expect students to spend 12 hours (720 min.) per week on the subject of this class. You are required to attend all lectures (160 - 240 min.). You are required to spend the rest of hours (480 - 560 min.) for researching on class subjects, studying related topics and brainstorming, practicing and testing algorithms we learn in the class, trying out any other algorithms that you might want to use, troubleshooting, team discussion, and any other things that are necessary for studying class materials and making your four projects.