This module covers vectors, matrices and the Binomial, Poisson and Normal probability distributions.
Vectors in 2 and 3 dimensions: basis vectors, vector sum, scalar and vector products, scalar and vector triple products, applications
Matrix algebra, determinants, eigenvectors, the cofactor matrix method for inverting a matrix, solving systems of linear equations, the matrix of a linear transformation.
Binomial, Poisson and Normal probability distributions and their applications.