All fields of civil and environmental engineering require an understanding of statistical methods, data management, and data analysis. CEE decision making requires evaluating uncertainties, whether the decision deals with infrastructure management, natural hazards, structural design, subsurface characterization,public health management, or many other facets of practice. Moreover, employers are now seeking data analysis skills in CE Program graduates. In response to these issues, this course will have students learn and apply appropriate computational and software tools for data management and analysis to a variety of situations common to civil and environmental engineering.

• Solve engineering problems using a scientific computing language, including use of functions and flow control structures.
• Import, clean, and pre-process CEE data sets.
• Conduct exploratory data analysis through data visualizations and summary statistics.
• Design, test assumptions, conduct and interpret hypothesis tests for CEE problems.
• Design, test assumptions, conduct and interpret regressions for CEE problems.
• Evaluate time-series data and frequency analysis for CEE problems.

• David F. Muñoz