Machine Learning for Civil Engineers

4 credits

Provides students with an overview of machine learning basic concepts and common tools; introduces machine learning for civil engineering applications; exposes students to basic technical elements of machine learning; and equips students with basic capabilities for common machine learning tasks (including regression, supervised and unsupervised learning, decision trees) and their applications in civil engineering. Course overlaps with: CSE 416/STAT 416 and STAT 435. Prerequisite: either MATH 126 and MATH 208, or MATH 136; and either IND E 315 or STAT 390; recommended: prior programming experience. Offered: Sp.