12-471   Applied Data Analytics for Civil and Environmental Systems

Building upon the fundamentals developed in 12-271 and 12-371, this course empowers students to leverage computing tools for big data.

Topics include design of experiments; advanced topics in statistics and uncertainty quantification; an introduction to signal processing and Fourier theory; an introduction to classification, clustering, and other concepts from machine learning; and an introduction to parallel and distributed computing and sensing. Each topic is presented in the context of a specific set of engineering problems. An emphasis is placed on identifying computationally appropriate and efficient solutions.

This course culminates in a collaborative project, enabling students to synthesize their computational and data science skills to solve a significant problem in civil and environmental systems.

(Offered starting in Fall 2023)

Prerequisite(s): 12-271, 12-371

Textbook(s):

Textbook information can be found at the CMU Bookstore

Instructor(s):

• TBD