12-471 Applied Data Analytics for Civil and Environmental Systems

9 units, Carnegie Mellon University

This course builds on the fundamentals developed in 12-271 and 12-371 with a focus on applying these skills to complex civil and environmental systems. Topics covered in the course include advanced topics in statistics and uncertainty quantification; an introduction to signal processing and Fourier theory; an introduction to classification, clustering, and other concepts in machine learning; an introduction to parallel and distributed computing and remote sensing; and experimental design. The course will be centered around our grand challenges in civil and environmental engineering including climate change with explicit consideration of vulnerability and equity analyses. An emphasis is also placed on identifying appropriate datasets as well as computationally appropriate and efficient solutions. Students will work on problem sets, real-world data, and larger projects to learn and develop their technical skills.

Prerequisites: 12-371

Offered: Spring 2027, Spring 2026

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