Natural Language Processing. Is recommended for students who have not had a course in probability. Matrices for camera representation, Fourier transforms for aliasing, calculus for minimization, and robust statistics. CS402 Is a co-req. We describe how linear algebra is used in computer graphics and vision to move objects around.
Matrices are also to represent, and solve, systems of linear equations.
We assume no knowledge of linear algebra in this course. For a complete treatment of this material, see SSM 309 or Math 309. We review integration and differentiation with an eye towards minimizing equations and filtering images. We also discuss the use of linear equations as a discrete approximation to the continuous case. For proper coverage of signal processing, see EE379 or EE445.