This is the typical course pacing for a student in the Graduate Certificate in Human Centered Artificial Intelligence.
Autumn quarter
HCDE 560: Foundations of Human Centered AI (4)
Explores the rapidly evolving field of artificial intelligence (AI), providing non-technical explanations of key concepts for interdisciplinary students to build practical understanding. Students develop skills to navigate the changing AI landscape, work effectively with AI systems, and contribute to AI-driven innovations across disciplines.
Winter quarter
HCDE 561: Strategic Human Centered AI (4)
Leverages human-centered design critical theory and frameworks to enable students to build a critical and formative perspective on responsible artificial intelligence (AI) development practices and approaches. Aims to enable learners to participate in and lead strategic evaluation of organizational considerations, harm to humans, and ethical data stewardship in the creation of AI systems and interactions.
Spring quarter
HCDE 568: Culminations in Human Centered AI (4)
Challenges students to engage with a real-world problem related to artificial intelligence (AI) through a human-centered lens. Focuses on developing a thoughtful design solution that leverages AI-enhanced research and design techniques while prioritizing the needs, values, and experiences of people.
Elective options
Students may elect to take their elective course in any quarter, depending on offerings and if space is available.
HCDE 563: Design and Prototyping with AI (4)
Covers fundamentals of prototyping artificial intelligence (AI) driven applications. Course materials rely on the use case of personalized recommendation systems to illustrate the way AI can be used to prototype different recommendation interactions. Using a set of example prototypes, challenges students to understand the design and engineering required to prototype AI driven interactions.
HCDE 564: Human Centered Research and AI (4)
Students learn both how to conduct human centered research for artificial intelligence (AI) systems, and how to effectively apply AI-powered techniques for human centered research. Students propose and work on several hands-on projects.