Introduces ordinary differential equations, systems of linear equations, matrices, determinants, vector spaces, linear transformations, and systems of linear differential equations. Prereq., APPM 1360 ...

Vector spaces, linear transformation, matrix representation, inner product spaces, isometries, least squares, generalised inverse, eigen theory, quadratic forms, norms, numerical methods. The fourth ...

An introduction to proofs and the axiomatic methods through a study of the vector space axioms. Linear analytic geometry. Linear dependence and independence, subspaces, basis. Inner products. Matrix ...

and Qualitative Matrix Analysis. He is Editor-in-chief of the Electronic Journal of Linear Algebra, and he serves on the editorial boards of Linear Algebra and its Applications, and Linear and ...

You will review the foundational mathematics that are critical in data science. Topics include algebra, calculus, linear algebra, and some pertinent numerical analysis. This specialization is also an ...