*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.

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

These pages provide a showcase of how to use Python to do computations from linear algebra. We will demonstrate both the NumPy (SciPy) and SymPy packages. This is meant to be a companion guide to a ...

A viral video showing students at the Massachusetts Institute of Technology clapping for a math professor during his last lecture has social media in a stir, for good reasons, of course. Gilbert ...

This is a preview. Log in through your library . Abstract Students see that geometric transformations—dilation and translation—correspond to algebraic parameters—m and b—in the familiar equation for a ...