Nine questions in a three-hour closed-book exam would be typical for this course at MIT. We try to cover all the way from Ax=0 (the null space and the special solutions) to projections, determinants, eigenvalues, and even a touch of singular values from the eigenvalues of ATA. That is the good matrix of linear algebra: square, symmetric, and positive definite or at least semidefinite.
Exams and Solutions
Looking for something specific in this course? The Resource Index compiles links to most course resources in a single page.