Master the language of modern mathematics and data science. From vectors and matrices to eigenvalues and linear transformations, build the foundation used in machine learning, computer graphics, physics simulations, and beyond.
Understand vectors, their operations, and the structure of vector spaces
Master matrix operations, multiplication, inverses, and determinants
Solve systems using row reduction, Gaussian elimination, and RREF
Understand linear maps, their matrix representations, kernel, and image
Compute eigenvalues and eigenvectors, understand diagonalization
Apply linear algebra to data science, graphics, and machine learning
A 20-question comprehensive assessment covering all modules in this track.