Course Catalog
From Data to Action
94-867
Units: 6
Description
A 7-week intensive course at Carnegie Mellon University focused on designing human-centered decision systems. The course emphasizes translating data into actionable decisions, with applications in areas like public health, civic planning, and mobility systems. Students build and simulate systems that respond to real-world uncertainty.
Learning Outcomes
- Design end-to-end decision systems from data to action
- Apply optimization, machine learning, and simulation techniques
- Build systems that incorporate fairness, adaptability, and robustness
- Understand how to translate predictions into impactful decisions
- Develop skills for completing full-stack analytics projects
Prerequisites Description
- Prior coursework in Optimization or Management Science or analytical decision sciences
- Intermediate Python programming skills
- Basic knowledge of Machine Learning