In the same sequence, Stephen Boyd's course Introduction to Linear Dynamical Systems (http://see.stanford.edu/see/courseinfo.aspx?coll=17005383-19c6-49ed-9497-2

In the same sequence, Stephen Boyd's course Introduction to Linear Dynamical Systems (http://see.stanford.edu/see/courseinfo.aspx?coll=17005383-19c6-49ed-9497-2ba8bfcfe5f6 http://see.stanford.edu/see/courseinfo.aspx?coll=17005383-19...) is also excellent. The title sounds pretty specific but it is really about a wide range of applied linear algebra. Boyd's lecture style is a little idiosyncratic but he's great about constantly emphasizing how to gain an intuitive qualitative sense of what everything means. He also has a couple of courses on convex optimization that cover the theory behind a lot of machine learning.