IMA Summer 2024 course offerings (undergraduate courses):
These sections are open to all NYU students and visiting students. NYU students may self-register in Albert, no permission required.
Visiting students, please email george.agudow@nyu.edu for steps on how to register for summer courses.
ITP / IMA Media Fee Disclaimer: Please be advised, ITP / IMA courses are assigned a $279.00 Media Fee, which applies to ITP / IMA students as well as non-departmental students. For Summer term, the Media Fee is charged on a per-class basis. This fee grants students Equipment Room check-out privileges, as well as access to the physical computing shop and machines in our departmental space in 370 Jay / 4th floor. The Media Fee is non-refundable.
Topics in Design – Sec. 001: UX/UI Building Blocks
IMNY-UT 270 – 001
IMA Old Curricular Structure – Art and Design | IMA New Curricular Structure – IMA Major Elective
Tu/Th 2:00pm – 5:30pm (7/9 – 8/15) – 6W2
This class focuses on the UX and UI tools needed to create a compelling user experience, including user flows, information architecture, UX principles, frameworks, and interaction patterns. Each week will focus on a different core building block of UX/UI, and put that into practice in a design assignment.
Topics in Media Art – Sec. 1: Making Data Tangible
IMNY-UT 260 – 1
IMA Old Curricular Structure – Physical Computing and Experimental Interfaces | IMA New Curricular Structure – IMA Major Elective
Tu/Fr 10:00am – 1:30pm (07/07 – 08/13) – 6W2
This hands-on course will explore ways to tell compelling stories using data and emerging media/fabrication tools. Students will learn to collect data, find interesting patterns, design digital models, and construct physical artifacts using laser cutters and 3D printers. We will visualize everything from subway busker tactics to real-time influencer trends. In fact, we will literally hold the output of that data in our hands. In addition to learning fabrication tools, students will be encouraged to apply their unique interests and skill sets to their data visualization projects (music, video, performance, creative coding, etc.).
Introduction to Machine Learning for the Arts
IMNY-UT 224 – 001
IMA Old Curricular Structure – Programming and Data | IMA New Curricular Structure – Programming and Data
Tu/Th 6:00pm – 9:00pm (07/09 – 08/15) – 6W2
An introductory course designed to provide students with hands-on experience developing creative coding projects with machine learning. The history, theory, and application of machine learning algorithms and related datasets are explored in a laboratory context of experimentation and discussion. Examples and exercises will be demonstrated in JavaScript using the p5.js, ml5.js, and TensorFlow.js libraries. In addition, students will learn to work with open source pre-trained models in the cloud using Runway. Principles of data collection and ethics are introduced. Weekly assignments, team and independent projects, and project reports are required.