Lecture, three hours; discussion, one hour. Requisites: courses 32B, 33B, 115A, 131A, Computer Science 31 or Programming in Computing 10A or equivalent, with grades of B or better. Not open for credit to students with credit for course 151A. Rigorous introduction to numerical algorithms including necessary skills to apply algorithms in statistics, imaging, data science, engineering, and related fields. Root finding, solving linear systems, interpolation, quadrature, and finding eigenvalues. MATLAB programming. P/NP or letter grading.