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. Prerequisite: either MATH 126 and MATH 208, or MATH 136; and either IND E 315 or STAT 390. Offered: Sp.