COMP SCI 412
INTRODUCTION TO NUMERICAL METHODS
Interpolation, solution of linear and nonlinear systems of equations, approximate integration and differentiation, numerical solution of ordinary differential equations, Data fitting (such as least squares) by polynomials and splines. Knowledge of matrix algebra recommended, such as MATH 340 .
Prerequisites & course information
Requisites: MATH 222 and ( MATH/COMP SCI 240 or MATH 234 ) and ( COMP SCI 200 , 300 , 301, 310 , or placement into COMP SCI 300 ) or graduate/professional standing or declared in the Capstone Certificate in Computer Sciences for Professionals Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Breadth - Natural Science Level - Intermediate L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Spring 2026
Sources
- Course catalogue ↗2026-2027