I have been on the course staff for Linear System Theory (EE 221A), Optimization Models in Engineering (EECS 127/EECS 227AT), and Introduction to Machine Learning (CS 189/CS 289A). Below are the notes I have use to teach these courses:
1. Fundamental Math/Notation
2. Probability & Random Processes
3. Linear Algebra
4. Linear Systems
5. Convex Optimization
6. Machine Learning