MAT 339
Numerical Analysis
Mathematics · Faculty of Natural and Applied Sciences · 3 credits
Description
The course introduces the theory and applications of numerical approximation techniques. Topics include: roots for nonlinear equations, error analysis, Lagrange polynomial interpolation, Newton’s divided differences for approximation of functions, numerical differentiation and integration and least squares approximation. Computational experiments in a programming language are an integral component of the course. Prerequisites: MAT 213 and ENG 202 or CSC 212 or CSC 210 or CSC 215.
What to expect
✓Has Quiz 1
✓Has Midterm
✓Has Final
✓Has Cumulative Final
✓Has Attendance
✓Has Participation