I have been on the course staff for the following courses:
    * Linear System Theory (EE 221A)
    * Optimization Models in Engineering (EECS 127/EECS 227AT)
    * Introduction to Machine Learning (CS 189/CS 289A)

Below are the notes I have use to teach these courses:
    * Fundamental Math/Notation
    * Probability & Random Processes
    * Linear Algebra
    * Linear Systems
    * Convex Optimization
    * Machine Learning

I have also had the privilege of working with three high school students through the LearnSTEM program. Through this program, I developed curriculums to guide students through An Introduction to Machine Learning (syllabus 1 and syllabus 2) and The Design and Analysis of Electric Circuits (syllabus).