Tag Archives: ai

class, elective, grad, grad-s25-studio, s25, special topic

DM-GY 9103 Conservation of AI-Based Artworks

The newest artist is AI. As the landscape for creating and displaying AI-based artworks is fast-paced and ever-evolving, what are the common tools and languages that will be necessary to conserve and re-exhibit these works into the future? In this class, students will work on case studies in collaboration with a contemporary artist and their studio, focusing on artworks created using AI.  Students will learn conceptual and practical frameworks of conservation as applied in this field through readings, class discussion and guest lectures, along with lab sessions to learn and apply skills to handle these artworks. Throughout the semester students will develop documentation and present conservation concepts for these fragile artworks.

Previous programming experience is highly recommended. Please contact instructors for  evaluation and guidance related to your current programming expertise related to this class.

Instructors: Thiago Hersan, Deena Engel

elective, grad, grad-s25-studio, s25, special topic

DM-GY 9103 Deep Learning For Media

Deep learning has promoted breakthroughs in managing and creating media content, and continues to shape the future of the multimedia landscape. This course provides a hands-on, project-oriented introduction to deep learning for the classification, retrieval, and creation of media content, with emphasis in audio-visual content. Students create and work with existing deep learning models and Python libraries, and think critically about the application of these models for media.

Instructor : Magdalena Fuentes

Sample Syllabus

elective, grad, grad-s25-studio, s25, special topic

DM-GY 9103 Affective Interfaces

In this course, students will experiment with interfaces that engage with human emotions. Leveraging techniques in machine learning, physical computing, haptic media, bio-sensing, sound, gestural interfaces and facial recognition, students will create experimental emotionally-aware technologies. In doing so, students will challenge the ways that emotion and affect are construed and captured by dominant platforms. This is a project-based course in which students will explore novel modes of expression collaboratively and through individual projects.

instructor Craig Fahner

sample syllabus

class, elective, grad, grad-s25-studio, s25, special topic

DM-GY 9103 Future of UX & AI

This graduate course will explore the intersection of artificial intelligence (AI) and user experience (UX) design, with a focus on incorporating user research and Human-Computer Interaction (HCI) principles throughout the design process. Students will learn how to design effective AI-powered user experiences by understanding the capabilities and limitations of AI, and by applying user-centered design methods. Through a combination of lectures, discussions, case studies, and hands-on projects, students will gain the knowledge and skills they need to create AI-powered systems that are intuitive, efficient, and satisfying to use.

Instructor : Setor Zilevu

Sample Syllabus

class, elective, f24, grad, special topic

DM-GY 9103 Introduction to Machine Learning for Media

This course will introduce students to the wild and wonderful world of data analysis and machine learning from critical, practical and creative perspectives. Through readings, projects and programming assignments, students will develop a solid understanding of Machine Learning applications and techniques related to media processing, analysis and creation. We will use Python and Jupyter notebooks to run, fine tune and analyze existing machine learning models for creative media applications. Students should have prior programming experience.

Instructor: Thiago Hersan

class, elective, f24, grad, grad-s25-studio, s25

DM-GY 6133 Mobile Augmented Reality Studio

In this course, you’ll gain a deep understanding of the full UX process while also learning how to apply it to the rapidly evolving field of Augmented Reality (AR). Through a structured approach, you’ll master key techniques such as problem definition, user research, ideation, wireframing, and prototype testing. A central focus of the course will be on how these UX fundamentals translate into designing for AR environments—where interaction and engagement happen in entirely new dimensions.

Guided by industry professionals, you’ll have the opportunity to work on projects that bridge UX and AR, exploring how user-centered design principles can be adapted to create immersive, interactive experiences. With hands-on practice, you’ll test, iterate, and refine your designs to meet the unique challenges of AR, from spatial interactions to contextual user interfaces. This course offers a unique technical blend of UX expertise and AR innovation, preparing you to design for the future of digital experiences.

This course examines the potential of mobile augmented reality [AR] and its future impact on society. Augmented reality technology is poised to revolutionize the way we understand the world by overlaying physical reality with real time, interactive digital content. AR will change our interaction with digital media by dissolving the user interface and turning it into a physical experience of sight and sound. This course will explore these emerging possibilities through hands on learning with the latest software and hardware. The class explores techniques and methodologies through guest lectures and regular studio practice to give students an overview of the possibilities and the current state of the art, and to prepare them for thesis work or subsequent course work. Students will gain a strong understanding of the AR industry’s past, present, and especially its future trends.

Instructors: Mark Skwarek and Sana Maqsood