*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.

I'm planning my next semester and am wanting to take Linear Algebra and Differential equations and need to know if there is anything I need to brush up on for either class. A lot of my friends are ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

As with statsmodels, Matplotlib does have a learning curve. There are two major interfaces, a low-level "axes" method and a ...

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

Slack for questions about the course and student - led discussions (See Canvas for link) Note about email: Email should be used only for personal/individual matters, and even then it is better to come ...

Understanding and implementation of algorithms to calculate matrix decompositions such as eigenvalue/vector, LU, QR, and SVD decompositions. Applications include data-fitting, image analysis, and ...

All Ph.D. students must pass two Joint Program Examinations. One exam covers Mathematical Analysis (MA 640 and MA 641). The other exam covers Linear Algebra and Numerical Linear Algebra (MA 631 and MA ...

Oracle Spatial is a powerful set of Oracle objects for storing, manipulating, and querying graphical shapes. There are many transformation functions to find complicated results such as the ...