Description
This course covers the fundamentals of linear algebra including matrices and systems of linear equations, determinants, vector spaces, linear transformations, orthogonality, and eigenvalues.
Throughout this lecture series, I introduce the relevant topics (listed above) in a total of six chapters and each lecture corresponds to a single section for each chapter.
Each lecture introduces new topics through a sequence of definitions with follow-ups on theory and examples to make the concepts more concrete. Occasionally, there will be coding throughout the series that is used to apply the theory to realistic contexts in science.