Linear algebra is a branch of mathematics that focuses on linear equations, linear transformations, vector spaces, and matrices. Its far-reaching impact extends across disciplines like physics, engineering, computer science, and economics, with practical applications spanning computer graphics, machine learning, signal processing, economic models, and beyond.
This course will cover fundamental concepts of linear algebra from a mathematical perspective, including systems of linear equations, matrix algebra, determinants, vector spaces, eigenvalues and eigenvectors, orthogonality, least squares, and symmetric matrices. It has a hands-on format where a major focus is placed on mathematical application of concepts and problem solving.
Related Discipline(s)
This course would also be of interest to the following discipline(s):Data Science, Physics / Biophysics