3 credits
Fall 2025 Lecture
This graduate seminar offers an in-depth exploration into the creative and innovative intersections of artificial intelligence (AI) and machine learning with arts and design. As we witness a surge of breakthroughs in AI, this course aims to uncover the creative potential of new interaction techniques and art forms within these technological advances. Students will delve into how machine learning reshapes disciplines such as computational design, media arts, music, gaming, human-computer interaction, virtual reality, and graphics. The seminar has a dual focus: firstly, surveying the landscape of contemporary creative applications of deep learning across various fields; and secondly, empowering students to conceive and execute their own creative projects that leverage AI technologies. Coursework will be organized around the development of creative AI projects, to be completed either individually or collaboratively in small groups. Prerequisite: CGT 53700 or by permission of instructor.
Learning Outcomes1Apply AI and machine learning techniques for creative purposes in fields such as animation, art, graphic design, digital media, and visual effects.
2Contextualize and categorize creative AI projects within the history of electronic media, interactive arts, and visual design.
3Devise and develop a series of creative projects using generative AI/ML programming techniques within contemporary software frameworks.
4Evaluate the creativity, ethical considerations, and societal impacts of creative AI projects, as well as the creative potential of AI techniques and tools.
Restrictions
made by Purdue students.