Not too easy. Not too difficult.
Course Overview:
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.
Course highlights:
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:
6-8 hours
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.