Design Thinking with Data

Undergraduate

This course builds on the foundational data skills introduced AMS 1910 such as data wrangling, exploratory analysis, and visualization and develops them to inform problem framing and solution specification within a human-centered design thinking framework. Students learn to engage key parties to identify meaningful problems, co-create ideas, and iteratively refine solutions through testing and feedback. Students are introduced to new techniques such as collecting and evaluating data from surveys, interviews, and observation; recognizing and addressing issues of data quality, bias, and uncertainty; and transforming insights into clear narratives and prototypes that support decision-making. Through case studies and hands-on projects, students will integrate technical analysis with human-centered insights to design data-driven solutions that are both actionable and contextually relevant. Optional extensions are available for students with programming experience Prerequisite: AMS 1910 and one of STAT 1210, STAT 1910, BUS 2510, PSY 2700, PSY 2710, PSY 2750, ENGN 2130, SOC 3320, EDU 4810 Three lecture hours per week