Explore human-centered research, interface prototyping, and the evaluation of AI-mediated interactions.
Learners examine an interaction problem, explore user needs, and develop a prototype or research plan. The program introduces Figma, mixed methods, and participatory-design concepts, with possible applications in accessibility, communication, and digital health. Any human-participant research requires appropriate review and permissions before recruitment or data collection.
Proposed learning outcomes for this program example:
The sequence below illustrates how this program’s content can be organized. Topics, pacing, and project depth are adapted for each offering. This is not an archived record of a specific cohort’s weekly syllabus.
Study how natural-language preferences can be interpreted and evaluated in a simulated driving decision system.
Use systematic review methods and R to synthesize research evidence and interpret quantitative findings.
Explore a reproducible computational drug-design workflow using protein structures, docking, and introductory machine learning.