(3 credits – TG) 3 hours lecture, 1 hour tutorial
This course is an introduction to abstract vector spaces and subspaces. Projections and best approximations are studied with the help of the Gram-Schmidt algorithm. Other topics that are studied are population dynamics, Fourier analysis, and eigenvalues and eigenvectors.
Prerequisite: Mathematics 1203 with a grade of “C-“ or better.