• Overview of core principles and techniques for the design of interaction, behavior, and intelligence across objects and spaces. In a studio environment, students develop low and high-fidelity interactive prototypes that can be deployed and experienced by real users. Lectures cover the history and principles of human-computer interaction, behavior prototyping, physical and graphical user interfaces, machine intelligence, neural networks, and large language models. Provides a foundation in technical skills, such as physical prototyping, coding, and electronics, as well as how to collect data, train, and deploy their own neural network models. Students complete a series of small interaction exercises and a portfolio-level final project. Students taking graduate version complete additional assignments. Limited to 16; preference to 4B majors and Design minors.

• Textbook Information

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