Lectures related to Finite Element Analysis

Covers the least squares method for approximating data and handling errors.

Explores image interpolation, splines, wavelets, and geometric transformations in image processing.

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Covers logical arrays, 3D surface plotting, parametric curves, interpolation, and fitting in Matlab.

Explores the benefits of deeper networks in deep learning and the importance of over-parameterization and generalization.

Covers the basics of Newton interpolation and interpolation polynomials using Lagrange and Newton methods.

Covers the stability analysis of ODEs using numerical methods and discusses stability conditions.

Introduces Reed Solomon Codes, their applications, polynomial definitions, interpolation, roots, and the Fundamental Theorem of Algebra.

Covers the basics of numerical analysis, focusing on interpolation methods and their applications in engineering.