Machine Learning for Design
Few technologies throughout human history have had a transformative impact on society. Machine learning, a form of Artificial Intelligence, can be one of them. If designers want to help shape a better future, they should master this technology. This course seeks to make that possible.
The purpose of this elective course is to enable design students to mingle, manipulate, and play with machine learning as a digital design material.
Through a hands-on approach, learn about the capabilities and limitations of state-of-the-art machine learning methods. Create prototypes, low-fidelity concepts, that use machine learning technology to enable the functionality of a product, service, or system. Think of an intelligent home appliance operated through movement or voice. Consider systems like cities or government and how algorithms play a role in their work. Machine learning can also support the design process: imagine automatically coding thousands of user interviews and opinions to get insights into how people use a product or a service.
This course aims to equip design students with the skills required to meaningfully interact in teams working with machine learning technology. Ultimately, it’s about designing humane technology that can lead to a better digital society.
