Vectors and Matrices, 5 cr

Core content

Systems of linear equations: solving using Gaussian elimination.
Linear independence of Euclidian space, subspaces, basis, rank, and dimension of subspaces of an Euclidian space

Different techniques for describing lines and planes

Matrices: matrix algebra, matrix product, transpose matrices, inverse matrices, determinant of matrices, eigenvalues and eigenvectors of matrices

Vectors: cross product, dot product and the vector triple product of vectors

Using Matlab for vector and matrix calculations