Data Analytics for Urban Systems

This course focuses on how to utilize statistical visualization and methods to perform exploratory, confirmatory and predictive analysis of data obtained from civil engineering systems, in domains such as energy and transportation. Topics covered include identifying what and if questions can be answered given a dataset, models of behavior, prediction of time-series and data cleansing. We will review basic methods for Exploratory Data Analysis, Confirmatory Data Analysis and Predictive Data Analysis and study models relevant to CEE applications. The material is presented via case studies and reviewed in weekly statistical lab assignments in R.