SoC First Year Seminar: Interdisciplinary Topics in Communication Arts & Sciences (101-0-3)
Topic
AI Design, Machine Learning, and Creative Practice
Instructors
Thomas Faburn DeFrantz
Duri Lucille Lampe Long
Meeting Info
Ford Hive Annex 2340: Tues 11:00AM - 12:20PM
Overview of class
In this course, students will explore how to use AI-generated art as inspiration and/or content for performance pieces. Students will first learn about how to create dynamic visual imagery using generative AI technologies, such as DALL-E and Stable Diffusion. They will then creatively explore how to use AI-generated art to inform storytelling through performance. Throughout the course, students will explore questions such as the role generative AI could/should play in performance, how to craft machine learning models and datasets to generate artistic outputs, and how to performatively tell stories using visual imagery. No prior technical knowledge or performance experience is needed for this course, just an interest in and enthusiasm for the content area.
Registration Requirements
Enrollment is restricted to SoC undergraduate first year students.
Learning Objectives
1.To deepen understanding about, and encourage enthusiasm for, research related to diversity. 2.To learn about how scholars from different disciplines examine scientific questions, including the varied methods they use in the process. 3.To engage with scholars from across SoC, including through thoughtful in-class questions and discussion. 4.To consider the many different aspects of the field for communication could be examined and understood and even what cross-disciplinary collaboration might look like.
Class Attributes
SOC First-Year Seminar
Enrollment Requirements
Enrollment Requirements: Reserved for School of Communication Freshmen & Sophomores only.