Linear Algebra
Matrices as maps: solving systems, determinants and inverses, vector spaces, eigenvalues and least squares.
Unit 1Start
Systems and row reduction
Elimination, echelon form and the shape of a solution set
0% mastery
Unit 4Start
Inverses and Ax = b
Adjugates, Cramer's rule and what invertibility is equivalent to
0% mastery
Unit 8Start
Eigenvalues and eigenvectors
Characteristic polynomials, eigenvectors and what they fix
0% mastery
Unit 9Start
Orthogonality and least squares
Projections, unit vectors, normal equations and fitting a line
0% mastery
Unit 10Start
Diagonalisation
Writing A as PDP⁻¹, powers of a matrix, and when it is possible
0% mastery
Loop practice
Cycle through all 10 units until you get 200 right (20 × 10 units).
Mastery saved per unit
Start