Data Analysis for Civil and Environmental Engineering

Catalog description

Comfort with manipulating and interpreting large datasets is increasingly important in many fields. This course will use examples grounded in civil and environmental engineering to cover topics essential for this, such as data cleaning, uncertainty, linear regressions, plotting, and machine learning. This is a programming intensive class (R will be the basis for instruction). Recommended preparation: ENGR 130 (or comfort with basic programming) and ECIV 360 (or other intro to probability/statistics course), or approval of instructor. Previous use of R is a plus, but not required. Offered as ECIV 355 and ECIV 455 .