Standard syllabus
Linear algebra for CS · Undergraduate · CS / Programming
Topics
Core linear algebra
- Vectors in R^n; dot product, norms, and angles
- Matrices, matrix multiplication, and linear maps
- Systems of equations; Gaussian elimination
- Rank, null space, and column space
- Determinants and invertibility (computational view)
Eigenmethods
- Eigenvalues and eigenvectors
- Diagonalization and spectral theorem (symmetric case)
- Orthogonality, projections, and Gram–Schmidt
- Least squares and normal equations
- Singular value decomposition (intro)
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