Category Archives: elective

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

DM-GY 6153 Game Design Studio

This course guides graduate students through contemporary thought in game design, development, user testing and deployment. The course will benefit students interested in research or employment opportunities in game design or in related fields that require an understanding of human-computer interaction. This studio provides a foundation understanding of how games are developed, tested and experienced.
Spring 2025 the course will focus on the integration of bespoke controllers and game feel.
instructors : Ahmed Ansari, Scott Fitzgerald
class, elective, grad, grad-s25-studio, s25

DM-GY 6143 Interaction Design Studio

This seminar introduces students from diverse backgrounds to interaction design as a creative and a design practice. The course surveys application areas, supporting technologies and their impact on individual and group relationships. Group projects introduce the collaborative and interdisciplinary development process common in the professional technology and design. Students are expected to develop technology competencies, including software programming, configuration of hardware devices and the operation of standard digital-media hardware and software tools. Students are also expected to demonstrate interpretive positions regarding analysis of the impact of technology on individuals and social interactions.

Instructor : Camila Morales

Sample Syllabus

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

DM-GY 9103 Project Development Studio

This is a project-based course where students will undertake a substantial media or design project that demonstrates a high level of competency, creative action, and professionalism. Students in the development studio will spend their time working on a project of their own design, culminating in an artifact, experience, or intervention that is accompanied by a written document that describes and accompanies the work. Public presentation of the work is central to the experience and will be shown in a group setting at the end of the semester. Much of the work in this course will be self-directed. Students will be responsible for time management and project oversight. Students must submit a project proposal to the instructor before being admitted into the course.

Instructor: Scott Fitzgerald

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

DM-GY 6113 Sound Studio

This course introduces IDM students to contemporary techniques and issues in audio, sound and musical research. The class covers digital and analog signal processing, synthesis, musical informatics and interaction design as it applies to contemporary music production, post-production and live performance. The course will focus on work in Max/MSP for a variety of contexts (including web audio and embedded systems), as well as the use of the analog synthesizers in the IDM audio lab and the multi-channel audio and media presentation system in the 370 Jay Street media commons. Students are expected to achieve competence in a number of technologies and to create brief studies based on them.
Instructors : Sam Tarakajian, Luke Dubois
class, elective, grad, grad-s25-studio, s25

DM-GY 6103 Live Performance Studio

This course introduces students to contemporary digital performance techniques and issues, i.e., integrating computing technology into traditional performing arts. Drawing on contemporary research in performance studies, as well as technical advances in performing-arts production design, students perform research on how digital technology and media are integrated into dance, theater, performance art and concert-music performance. Students develop performance technologies as part of their research and present them to the group at the end of the semester.
 
Instructors : Josh Goldberg, Rob Ramirez
class, elective, f24, grad, special topic

DM-GY 9103 Visual AI Studio for Art and Technology

This class is a practice-theory hybrid studio for visual AI. Using art historical inspiration, students will make work in a variety of practical modes—from text to image to GANs models and more. Critical writing and exploration exercises will allow students to think about the philosophical and ethical debates surrounding AI alongside their work.

There will be lectures; class visits from machine learning engineers, media theorists, artists and agency heads implementing artificial intelligence in multiple forms; along with hands-on introductions to working with and across AI platforms. There are no prerequisites for this course, students’ own interests will guide a hybrid final project. The course will culminate in an exhibition of students’ work at NYU.

class, elective, f24, grad, special topic

DM-GY 9201 Physical Interfaces For Networked Devices

NB – this is a 7-week course!

This course explores opportunities and limitations in designing physical interfaces for devices that communicate at a distance, primarily wirelessly. Physical, virtual, and social communication infrastructure will be used in the context of creating novel interactions. Students will learn to identify existing networked devices and objects, taking a critical look at their implementation from both a technical and social standpoint. While there are no prerequisites for the course, students are strongly encouraged to have some exposure to programming, electronics, or working with sensors.

Instructor: Scott Fitzgerald

class, elective, f24, grad, special topic

DM-GY 9201 Light and Control

NB : This is a 7- week course!

In this studio-based course, students will learn about and apply various protocols for controlling digital lighting for interactive, expressive, sculptural objects. While light-based art goes back centuries, the last few decades has seen an explosion of tools for creative output using various electric lighting fixtures and technologies. In addition to the technical aspects of control, this course explores aesthetic dimensions of this form through exposure to a variety of works and artist practices. At the end of the class, students will have a mini-exhibition displaying their work. Experience with programming and electronics is strongly encouraged.

Previous course site : https://wp.nyu.edu/lightandcontrol

Instructor: Scott Fitzgerald

class, elective, f24, grad, special topic

DM-GY 9103 Visual Design Studio

This course allows students to harness the power of visual language in order to convey messages and meaning. The elements of visual
foundation that will be covered include components (color, texture, image and typography), composition, and concept. Although non-
digital mediums will be addressed, the understanding and use of industry-standard software is also a primary goal.

Course site : https://vdsfa23.cargo.site/

Instructor: Jesse Seegers

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