## COURSE DESCRIPTION

Vector spaces, systems of linear equations, bases, linear independence, matrices, determinants, eigenvalues, inner products, quadratic forms, and canonical forms of matrices. More emphasis on theory and proofs than in 18.06.

**Prerequisites: **Calculus II (GIR)

**Textbook: **Sheldon Axler, *Linear algebra done right*

## RECENT UPDATE

The guest lecture of Keith Winstein on applications of linear algebra: Part 1, Part 2, and Part 3.

Find here the final exam, and the solutions.