The course missive can be found here.
What is The Matrix?
The aim of this course is to provide students interested in computer
science an introduction to vectors and matrices and their use in CS
applications. The course will be driven by applications from areas
chosen from among: combinatorial optimization, computer vision,
cryptography, game theory, graphics, information retrieval and web
search, maching learning, and scientific visualization. For example,
students will learn Google's PageRank method for ranking web pages.
This course satisfies the linear algebra requirement for the Computer
Science Sc.B.and the Applied-Math/CS Sc.B.
There are no formal prerequisites, but students are expected to be comfortable with mathematics. First-year students are welcome.
Instructor: Phil Klein
Grad TA: Olya Ohrimenko
Head TA: Matt Malin
UTAs: Justin Ardini, Hobart Reynolds, Sandy Ryza
Meeting time and place: J Hour (T.,Th. 1:00-2:20 PM) in Watson (CIT) Center 368