PRE-REQUISITES: Basic Calculus, Should have done a basic (or a first) course in Linear Algebra
INTENDED AUDIENCE: Senior level Undergraduate and First year Postgraduate/PhD
INDUSTRIES APPLICABLE TO: Communications, Artificial Intelligence, Analytics
COURSE OUTLINE: Introduce the fundamentals of vector spaces, inner products, linear transformations, and eigenspaces to electrical engineering students. And teach Applied Linear Algebra, Vector Spaces: Introduction. Linear Combinations and Span. Subspaces, Linear Dependence and Independence. Basis and Dimension. Sums, Direct Sums and Gaussian Elimination. Linear Maps and Matrices.