Not too easy. Not too difficult.
This course provided an introduction to linear algebra, which is the fundamental basis for all of mathematics and thus for all of mathematic's applications. It was a perfect blend of theory and examples, and the computations required of us were not unreasonably difficult.
In this course we learned about vector spaces, basis, dimension, linear dependence and independence, matrix algebra, row-reduced echelon form, orthonormal basis, least-squares approximations, and the Gram-Schmidtt process. A solid basis for future work.
Hours per week:
Advice for students:
Linear algebra requires practice. Practice row-reducing a matrix, practice manipulating equations of matrices, practice the Gram-Schmitt process. It also requires lots of rereading previous material in light of what was just learned.