The kernel is the "input that maps to zero," and the image is the "output that is actually obtained." Even if you know the definitions, you may sometimes struggle when writing out the answers as sets.

*Note: This course discription is only applicable to the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

In engineering classrooms, the disconnect between rigorous mathematical concepts and their practical applications can hinder ...

Vector spaces, linear transformation, matrix representation, inner product spaces, isometries, least squares, generalised inverse, eigen theory, quadratic forms, norms, numerical methods. The fourth ...

These powerpoints cover 5 lessons on the basics of Matrices, including addition/subtraction and multiplication, as well as finding the determinant and the inverse of a Matrix. I made them to go with ...