Assignments, critiques & demonstrations for the more advanced digital art student. The use of the computer to augment and expand conceptualization and expression has provided the artist with some of the most important new means for visual thinking since the Renaissance invention of perspective. Students learn how to use the computer as an extension of the visualization process and its specific applications in both two-dimensional and three-dimensional art.
’Art: Practice and Ideas’ examines key developments in the visual arts from modernity to the present. Focusing on the ways in which representations both create and reflect the values of a society, the course introduces students to the full range of expressive possibilities within the visual arts, covering painting and sculpture, as well as photography, film, video, conceptual art, and computer media. Topics to be covered include classical, modern, and postmodern relationships to politics, vision, the mind, the body, psychology, gender, difference, and technological innovation. Students will see and understand how artists have integrated perceptions of their historical moment, as well as physical and social space, into creative practices that have, in turn, had a significant impact on the culture of the time. Liberal Arts Core/MAP Equivalent – satisfies the requirement for Expressive Cultures
This course is designed to provide students with hands-on experience working with computational media (programming, creative coding, etc.) and data. The forms and uses of computational media and its application are explored in a laboratory context of experimentation and discussion.
This course will provide a foundation for understanding modern web development with a focus on front end technologies and accessing public data. The forms and uses of these technologies are explored in a laboratory context of experimentation and discussion.
Students will create two well-designed single-page web applications, including one that leverages public APIs and digital services from a wide range of existing web products. The goal of the course is for students to learn how to think holistically about an application, both by designing a clear user experience and understanding the algorithmic steps required to build it.
The interactive project will illustrate students’ unique interests as well as evidence of competency within the field of interactive media production. Students are encouraged to develop their project around a theme previously explored in their work. Projects will be presented and critiqued repeatedly throughout the capstone process to peers, faculty, and industry professionals. A final presentation of the interactive project will be delivered late in the semester. The research paper (4000-5000 words) will focus on at least one aspect of the interactive project: e.g. culture, theory, philosophy, or history, the project context, and/or production methods. For example, students may write about their project’s reception by a set of specific users, or by users who are part of a larger culture, society, or market. It is important that students think beyond the project itself and situate it in a broader context accessible through research. The research paper will include an annotated bibliography of the books and other resources they used for their research. Students will also be guided in the production of an online portfolio to showcase their work and accomplishments to the outside world. Graduates will be evaluated by their portfolio when applying for jobs, graduate school, artist residencies, grants, and the like. Portfolios will be tailored to the demands of each student’s future goals and target audience.
This course is designed to provide students with hands-on experience working with interactive and emerging applications for creating immersive experiences, with a focus on designing for virtual reality headsets. The class will also touch on related technologies, methods, and fields including experience design, virtual painting, augmented reality, interactive installation, and 360 video/audio. The course materials will also include readings and discussions on prior art/relevant critical texts.
This course is designed to provide students with hands-on experience working with sensors and other electronics to design interfaces for a live multimedia performance. Students will explore the expressive properties of sensors to control a variety of outputs such as light, sound, projection, and/or other media. The forms and uses of physical computing, computational media, and its application are explored weekly in both a hands on laboratory context, as well as weekly discussions of readings and existing performances. Prerequisites: Creative Computing or similar coursework with microcontrollers and coding.
We live in a world where we have more data, computational power, and access to digital connectivity than ever before. But how do we make sense of the promise inherent in this reality while holding space for the challenges that it presents for different groups and communities? How do we situate the technologies that we have come to take for granted? And more importantly, how do we leverage an artist’s perspective to creating active responses that interrogate and hint at the potential for different futures? This course examines emergent technological fields, spanning topics like data collection/representation, digital archives, artificial intelligence, social algorithms, and automation and asks how the technologies inherent to each can be leveraged for artistic response, creation, and critique. While this course is primarily conceptual and art theory-based, the content covered will be technical in nature and students will be tasked with making three creative responses to the content in the tradition of the new media, digital, and conceptual art worlds.
Assistive technology is a term that includes a wide variety of technologies for people with disabilities. This two-point survey course is designed to provide students with an overview of the field of assistive technology. Field trips, readings, and guest speakers will provide students with an understanding of current research and development as well as processes used in determining appropriate technologies. Weekly assignments and a final research project.
An introductory course designed to familiarize students with all the IMA prototyping shop has to offer. We will cover everything from basic hand tools to the beginnings of digital fabrication. You will learn to use the right tool for the job. There will be weekly assignments, created to develop your fabrication techniques. There will be in class lectures, demos, and building assignments. Emphasis will be put on good design practices, material choice, and craftsmanship.
“In this course, students learn how to create musical systems –pieces that incorporate randomness, interact with their listeners, or evolve over time, in the browser. We will start by creating audiovisual instruments and sample-based interactive songs, as students review their p5.js skills and are introduced to the Tone.js music library. Then, we will turn to a structured exploration of the elements of music, focusing on rhythm, melody, timbre, and harmony. For each, we will hold listening sessions, represent and manipulate the element in code, and interact with it via a range of existing interfaces. Students will explore the possibilities that computation and interactivity open up by designing and implementing a series of interactive studies. The last few weeks of the semester will be dedicated to introducing algorithmic composition techniques such as Markov Chains and Neural Networks. During this time, students will also develop their final project: an interactive/generative musical piece that builds on their previous classwork. Throughout the course, students are encouraged to bring in their musical tastes and interests into the classroom. This class is a good fit for students who are interested in: – Creating interactive music pieces and digital instruments. – Deepening their understanding of how music works. All musically-curious students are welcome: previous experience with music and audio will be useful, but is not required. – Continuing to develop coding skills. Creative Coding or equivalent programming experience is required.”Prerequisite: Creative Computing (IMNY-UT 101)
“The network is a fundamental medium for interactivity. It makes possible our interaction with machines, data, and, most importantly, other people. Though the base interaction it supports is simple, a client sends a request to a server, which replies; an incredible variety of systems can be and have been built on top of it. An equally impressive body of media theory has also arisen around its use. This hybrid theory and technology course will be 50% project driven technical work and 50% theory and discussion. The technical work will utilize JavaScript as both a client and server side programming language to build creative systems on the web. Technical topics will include server and client web frameworks, such as Express, HTML, CSS, templating, and databases. The theory portion of the course will include reading and discussion of past and current media theory texts that relate to the networks of today. **** it is HIGHLY recommended you take Front End Web Development (or have equivalent front end web development experience) to get the most out of this course. We will be going over fundamentals of HTML/CSS but it would be useful to have prior knowledge ***”
“Big Ideas in the History and Future of Technology” is designed to provide students with a critical perspective on current issues in technology in the context of the history, controversies, consequences, and ethical questions in emerging media. This first course in the series includes: in the first half –some seminal early works that imagine a future in which technology enhances/augments human intelligence and capabilities and how that might affect society; in the second half–2 classic works of fiction and some podcasts/ audio lectures that address questions relating to “What is Human.”
This course introduces platforms, tools, and the architectures that facilitate scalable management and processing of vast quantities of data. We will explore open source tools enabling the efficient acquisition, storage, and processing of Big Data. Students will learn about distributed storage solutions such as the Apache Hadoop Distributed File System (HDFS), which supports storage of Big Data. Students will gain hands-on experience with distributed processing Apache solutions such as Hadoop MapReduce, HBase, Hive, Impala, Pig, core Spark, Spark SQL, and Spark Streaming. Other Apache big data tools covered are Sqoop, Oozie, Zookeeper, Flume, and Kafka
This course takes a mathematical approach in studying topics in computer science, such as: regular languages and some of their representations (deterministic finite automata, non-deterministic finite automata, regular expressions); proof of non-regularity. Context free languages and pushdown automata; proofs that languages are not context free. Elements of computability theory. Brief introduction to NP-completeness.
Introduction to numerical computation: the need for floating-point arithmetic, the IEEE floating-point standard. Importance of numerical computing in a wide variety of scientific applications. Fundamental types of numerical algorithms: direct methods (e.g., for systems of linear equations), iterative methods (e.g., for a nonlinear equation), and discretization methods (e.g., for a differential equation). Numerical errors: How can you tell if you can trust your answers? The use of graphics and software packages such as Matlab. Programming assignments.
Causal Inference provides students with the tools for understanding causation, i.e., the relationship between cause and effect. We will start with the situation in which you are able to design and implement the data gathering process, called the experiment. We will then define causation, identify preconditions required for A to cause B, show how to design perfect experiments, and discuss how to understand threats to the validity of less-than-perfect experiments. In this course, we will cover experimental design and then turn to those careful approaches, where we will consider such approaches as quasi-experiments, regression discontinuities, differences in differences, and contemporary advanced approaches.
This course covers widely-used machine learning methods for language understanding—with a special focus on machine learning methods based on artificial neural networks—and culminates in a substantial final project in which students write an original research paper in AI or computational linguistics. If you take this class, you’ll be exposed only to a fraction of the many approaches that researchers have used to teach language to computers. However, you’ll get training and practice with all the research skills that you’ll need to explore the field further on your own. This includes not only the skills to design and build computational models, but also to design experiments to test those models, to write and present your results, and to read and evaluate results from the scientific literature.