Designing Machine Learning: A Multidisciplinary Approach

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Course Description

A multidisciplinary, human-centered approach to designing systems of machine learning and AI intended to empower a new and more diverse generation of innovators.As machine learning makes its way into all kinds of products, systems, spaces, and experiences, we need to train a new generation of creators to harness the potential of machine learning and also to understand its implications. This class invites a mix of designers, data scientists, engineers, business people, and diverse professionals of all backgrounds to help create a multi-disciplinary environment for collaboration. Through a mixture of hands-on guided investigations and design projects, students will learn to design systems of machine learning that create lasting value within their human contexts and environments.

Grading Basis

RLT - Letter (ABCD/NP)

Min

3

Max

3

Course Repeatable for Degree Credit?

No

Course Component

Workshop

Enrollment Optional?

No

Does this course satisfy the University Language Requirement?

No

Programs

DESINST240 is a completion requirement for: