Programming and Data (New Structure)

Introduction to Machine Learning for the Arts

Yining Shi | IMNY-UT 224 | Fri 5:20pm to 8:20pm in 370 Jay St, Room 408 Meetings:14
4 Point, Computation and Data (Old Structure), Elective, Fall 2025, Programming and Data (New Structure)
Last updated: July 3, 2025
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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 generative models including text generation models and image generation models. Principles of data collection and ethics are introduced. Weekly assignments, team and independent projects, and project reports are required.

Some experience and basic familiarity with programming is a plus, but not required.

Live Web (Topics in Media Art)

Aidan Nelson | Syllabus | IMNY-UT.260 | TBD Meetings:14
4 Point, Elective, Fall 2024, In-Person, Programming and Data (New Structure), Spring 2024, Spring 2025
Last updated: August 5, 2024
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The web is an amazing platform for asynchronous communication such as email, social media posts and audio/video sharing. Over the last decade with faster connections, powerful computers, always on and connected mobile devices, synchronous or live communications have become more viable. Streaming media, audio and video conferencing and realtime chat give us the ability to create new forms of live interactive experiences for participants.

In this course, we’ll focus on the types of content and interaction that can be supported through web based and live interactive technologies as well as explore new concepts around participation. Specifically, we’ll look at new and emerging platforms on the web such as HTML5, WebSockets and WebRTC using p5.js, JavaScript and Node.js.

Topics in Computation and Data: Nature of Code

Lenin Compres | Syllabus | IMNY-UT.220 | Thur 5:20pm to 8:20pm in Meetings:14
4 Point, Computation and Data (Old Structure), Elective, Fall 2024, IMA Major Elective, New, Programming and Data (New Structure), Spring 2024, Spring 2025
Last updated: October 20, 2023
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Can we capture the unpredictable evolutionary and emergent properties of nature in software? Can understanding the mathematical principles behind our physical world help us to create digital worlds? This class focuses on the programming strategies and techniques behind computer simulations of natural systems. We explore topics ranging from basic mathematics and physics concepts to more advanced simulations of complex systems. Subjects covered include physics simulation, trigonometry, self-organization, genetic algorithms, and neural networks. Examples are demonstrated in JavaScript using p5.js.

Prerequisites: Creative Computing

Instructor Daniel Shiffman Website: https://natureofcode.com/