University Mathematics

Numerical Analysis

Solving mathematical problems that cannot be solved analytically by using numerical approaches and computer algorithms.

Curriculum / Syllabus

  • Solutions of Equations in One Variable
  • Interpolation and Polynomial Approximation
  • Numerical Differentiation and Integration
  • Initial-Value Problems for ODEs
  • Iterative Techniques in Matrix Algebra
  • Approximating Eigenvalues

Exam & Course Strategy

Tests the error analysis (error bounds) of algorithms, rates of convergence, and the programmable logic of numerical methods (Newton-Raphson, Runge-Kutta).