Lectures related to Matlab Programming Basics

Matlab: Interactive Mode and Project Steps

Introduces Matlab basics, error handling, and billiards project concepts.

Introduces a programming course for engineers, emphasizing the importance of mastering multiple languages for future projects.

Matlab 2: Vectorisation and Functions

Covers vectorisation, functions, and flow control in Matlab, emphasizing the importance of avoiding global variables and providing examples of simple plots and debugging techniques.

Eigen Library for Linear Algebra

Explores the Eigen library for linear algebra, covering vectors, matrices, arrays, memory management, reshaping, and per-component operations.

Linear Equations: Solutions and Operations

Covers the solution of linear equations and operations with matrices and vectors.

Analytical Geometry: Oriented Angles

Explores oriented angles in analytical geometry, discussing unit vectors, trigonometric functions, matrix representations, and rotations.

Vector Calculus: Scalars and Vectors

Introduces scalars and vectors, explaining their properties and mathematical operations.

Linear Equations: Vectors and Matrices

Covers linear equations, vectors, and matrices, exploring their fundamental concepts and applications.

Linear Equations: Matrix Notation & Solutions

Covers matrix notation for linear equations, solutions, and geometric interpretations.

Linear Transformations: Matrices and Applications

Explores linear transformations, matrices, and their practical applications in various contexts.

Linear Combinations: Vectors and Matrices

Explores linear combinations of vectors and matrices in Rn, demonstrating geometric interpretations and matrix operations.

Character of Dirac and Projectors

Discusses Dirac's character and projectors in high-dimensional spaces with matrices and vectors.

Matlab Functions: Vectorization and Plotting

Covers the 'find' function in Matlab for testing criteria on vectors or matrices.

Linear Transformations: Matrices and Applications

Covers linear transformations using matrices, focusing on linearity, image, and kernel.

Introduction to Matlab Programming

Introduces Matlab programming, covering basic operations, matrix manipulations, and debugging.

Rotation in Mathematics

Covers rotation matrices and transformations in mathematics, providing examples of rotating vectors in different dimensions.

Characteristic Polynomials and Similar Matrices

Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.

Advanced Physics I: Kinetic Energy

Explores kinetic energy, diagonalization of matrices, Euler angles, and spinning top motion.

Vector Transformation and Tense

Explores the transformation of vectors and tensors, including rotations and representations in quantum physics.

Linear Applications: Matrices and Transformations

Covers linear applications, matrices, transformations, and the principle of superposition.