# 12-471   Applied Data Analytics for Civil and Environmental Systems

**Source**: https://cee.engineering.cmu.edu/education/course-descriptions/12-471.html
**Parent**: https://cee.engineering.cmu.edu/education/undergraduate/courses.html

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](https://bookstore.mbsdirect.net/vbm/vb_home.php?FVCUSNO=37983&url=CarnegieMellon.htm)

### Instructor(s):

- TBD