Mathematical Foundations for Robotics
This is a foundational course and a prerequisite for all GPS Robotics courses. The course is intended as a refresher for mathematical concepts important in robotics that students should have encountered in past courses or avenues of study. The topics covered by this course include calculus, differential equations, linear algebra, probability and statistics, Bayesian/Markov tools, and fundamentals of graph theory. The course will begin and end with a self-assessment to allow students to gauge their strengths and weaknesses in these topics. References for further, in-depth study in each topic are provided.