Course Overview

Applied course in numerical methods and scientific computing. Key areas included:

MATLAB Programming

• Basic syntax and operations
• Matrix operations
• Function handles
• Vectorization techniques

Numerical Analysis

• Error analysis
• Numerical differentiation
• Integration methods
• Interpolation techniques

Linear Systems

• Direct methods
• Iterative methods
• Eigenvalue problems

Optimization

• Root finding
• Minimization algorithms
• Constrained optimization
• Linear programming

Applications

• Data fitting
• Signal processing
• Differential equations
• Scientific visualization