3 credits
Spring 2026 Lecture Upper Division
This graduate-level survey course offers a comprehensive exploration of how AI technologies are revolutionizing computer graphics and applications, including animation, augmented reality (AR), virtual reality (VR), digital media, and interaction techniques. With a focus on both the theoretical foundations and practical applications of AI, the curriculum delves into machine learning, deep learning, neural networks, and their specific uses in creating visual content and interactive digital media applications. Students will engage in hands-on projects, ranging from individual experiments to collaborative efforts, designed to demonstrate AI's transformative potential in enhancing both the visual and interactive dimensions of computational media. By the end of this course, students will not only understand the current landscape of AI in computational media but also possess the technical, analytical, and creative skills needed to contribute meaningfully to this rapidly evolving field.
Learning Outcomes1Design conceptually and prototype computer graphics applications that effectively incorporate AI technologies, demonstrating an understanding of how AI can enrich the content, enhance interaction, and increase realism within these applications.
2Apply appropriate AI techniques and machine learning algorithms for tasks like object recognition, content generation, and natural user interfaces across a variety of computer graphics applications, including animation, virtual reality (VR), and augmented reality (AR).
3Assess critically the ethical, societal, and technical implications of using AI in computational media, including considerations around data privacy, bias in AI models, and the broader impact of AI-generated graphics on industry and society.
Restrictions
made by Purdue students.