CIV 355 – Data Analytics for Civil Engineering Systems

Current Catalog Description

An introduction to the fundamentals of descriptive and predictive analytics. Basic methods, models, and tools of data analytics for analyzing, understanding, and managing civil engineering systems in a data-driven approach

Prerequisite

CIV 305

Corequisite:

None

Textbooks and/or Other Required Material

No textbook is required. Microsoft Excel, R.

This course is

Not Required

Topics Covered

An introduction to data analytics in civil engineering
Data description
Data visualization
Modeling uncertainty using probability
Statistical inferences
Monte Carlo simulation
Regression analysis
Time series analysis
Clustering
Classification

Course Learning and Student Outcomes

Understand any given problem of study in the civil engineering context and from the perspective of data analytics. ABET Student Outcome: 1

Identify appropriate methods of data analysis, formulate the solution approach, collect new data or select existing data, and prepare the data for analysis; ABET Student Outcome: 1

Perform data exploration,data description, data visualization, and data mining to develop an understanding of data; ABET Student Outcomes: 6

Train, validate, and test predictive models to build the ability to predict or estimate the system measurements of interest; ABET Student Outcome: 6

Summarize and interpret analysis results to develop the final recommendation for system improvement. ABET Student Outcomes: 3, 6

Prepared by

Ruwen Qin (2021)

Last Updated:

4/2021