Computational Mathematics I

Catalog description

This is the first in a two-course sequence. Students will be introduced to the techniques and concepts of computational mathematics. Students will study the reliability, efficiency, and computer implementation of algorithms and numerical methods within the topics: solutions of equations and systems, numerical linear algebra and eigenvalues, interpolation, approximation, and curve fitting. Typically offered Fall. Prerequisite(s): MA 26500 FOR LEVEL UG WITH MIN. GRADE OF C- Course Learning Outcomes 1. Be familiar with representations of real numbers in computers, the accumulation of round-off error through a sequence of calculations, and types of operations to be avoided in the construction of numerical algorithms. 2. Find the zeros of functions numerically. 3. Solve systems of linear equations numerically. 4. Compute eigenvalues and eigenvectors of matrices numerically. 5. Use interpolation for solving real-life problems. 6. Represent tabular data through curve fitting. 7. Learn how to use MATLAB for numerical solutions. View Class Schedule