Review of complex numbers. The fundamental theorem of algebra. Review of vector and scalar products, projections. Introduction to vector spaces, linear independence, bases; function spaces. Solution of systems of linear equations, matrix algebra, determinants, eigenvalues and eigenvectors. Gram Schmidt, orthogonal projections. Linear transformations, kernel and image, their standard matrices. Applications (e.g. geometry, networks, differential equations).
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Part-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree