PhD student Zach Ward facilitated a lab exercise on building decision trees using modeling software as part of the course Decision Science for Public Health (RDS 202), instructed by Sue J. Goldie and co-instructor Eve Wittenberg.
The lab exercise guided students through the process of building decision trees using the open-source software Amua, designed and developed by Ward. The exercise included a video tutorial and resource pack. Materials walked students through the software environment, fundamentals of building decision trees, developing models, and running baseline and sensitivity analyses. Both the video and resource pack were produced in partnership with the CHDS Media Hub.
Feedback gathered during the lab will be used to make improvements to the software and companion materials.
Learn more: Visit the Amua Software Github
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