MATH 1104: Linear Algebra for Engineering or Science

Linear algebra tailored for engineering and physical sciences. Covers systems of linear equations, Gaussian elimination, matrix algebra, determinants, vector spaces, basis and dimension, linear transformations, eigenvalues, eigenvectors, and diagonalization with engineering applications.

• Systems of linear equations: Gaussian elimination, row echelon form, matrix inverses, and LU decomposition in MATH 1104
• Vector space theory: linear independence, span, basis vectors, dimension, null space, and column space
• Linear transformations: matrix representations, kernel and range, coordinates, and change of basis transformations
• Spectral theory and applications: eigenvalues, eigenvectors, characteristic polynomials, and matrix diagonalization in Linear Algebra for Engineering or Science