Basic computational methods for interpolation, least squares, approximation, numerical quadrature, numerical solution of polynomial and transcendental equations, systems of linear equations and initial value problems for ordinary differential equations. Emphasis on methods and their computational properties rather than their analytic aspects. Intended primarily for students in the physical and engineering sciences.

A semester-long applied statistical project (a minimum 10 hours per week or 120 hours in total), in an internship or collaborative research-laboratory setting working on a substantive applied quantitative project with significant statistical content. One option for the collaborative project is training in statistical consulting, with activities consisting of training and role-playing sessions with the Course Instructor coupled with actual non-paid short-term consulting sessions with campus graduate student and faculty clients about statistical aspects of their research.