About Course
Linear Algebra (Full Course) | Today’s School
Dive deep into the world of Linear Algebra with our comprehensive Linear Algebra Full Course, offered on Today’s School. This course provides an in-depth exploration of key concepts such as vector spaces, linear transformations, eigenvalues, and matrix theory. Designed for both beginners and advanced learners, the curriculum includes:
- Vector Spaces: Understand the principles of vector spaces, subspaces, and linear independence.
- Matrices and Operations: Learn about matrix operations, inverses, determinants, and their applications.
- Linear Transformations: Explore linear mappings, matrix representations, and the impact on vector spaces.
- Eigenvalues and Eigenvectors: Gain insights into eigenvalues, eigenvectors, and their significance in solving systems of linear equations.
- Applications and Problem Solving: Apply concepts to real-world problems and advanced topics in engineering, physics, and computer science.
Our course features interactive lectures, practical exercises, and assessments to ensure mastery of the material. Perfect for students aiming to excel in mathematics or related fields, this course equips you with the analytical skills needed for complex problem-solving and theoretical understanding. Enroll now and unlock the full potential of linear algebra with Today’s School!
Master Linear Algebra with our comprehensive course is now available at a special sale price! Dive into vector spaces, matrix theory, and more, with interactive lessons and practical exercises. Don’t miss out on this limited-time offer!
Course Content
Linear Algebra
Vectors and Operations
00:00Systems of Linear Equations
00:00Determinant of a Matrix
00:00Matrix and its Classification
00:00Linear Transformation
00:00Eigenvalue and Eigenvector
00:00Matrix Algebra
00:00Eigenvalue and Eigenvector Decomposition
00:00Singular Value Decomposition
00:00Orthogonality
00:00Vector and Matrix Norms
00:00Inner Product Spaces and Vector Calculus
00:00Polynomials and Matrices
00:00Finite Fields Error Correcting Code
00:00Robotics and Control Theory
00:00Machine Learning and statistics
00:00Linear Programming
00:00Linear Algebra in Computer Graphics
00:00Operations Research
00:00Network Flow Problems
00:00Markov Chain
00:00Chaos Theory
00:00LU Decomposition
00:00Principle Component Analysis
00:00QR Decomposition
00:00Inverse Matrix
00:00Choleskey Decomposition
00:00