Overview

This class combines applied mathematical methods with mathematical programming in Python. Emphasis is on using a computer for solving problems. An understanding of basic linear algebra and probability is needed, as well as programming skills.

Slides

1. Introduction
2. Basic data & programming structures
3. Numerical programming with vectors
4. Advanced functions
5. Norms and distances
6. Statistics and preprocessing
7. Linear Independence
8. Matrices
9. Matrix inverses and Numpy