Description: Lecture, four hours; discussion, two hours; outside study, six hours. Requisites: course M20, Chemistry 20A, 20B, Mathematics 31A, 31B, 32B, Physics 1A, 1B, 1C. Theoretical and practical introduction to artificial intelligence and machine learning for civil engineering problems. Focus on practice and problem-solving skills. By course end, students are expected to be able to independently run machine learning analysis. Concurrently scheduled with course C211. Letter grading.

Units: 4.0