Discrete Mathematics
Logic, proofs, number theory, counting and graph theory.
Course Pages
Public copies of the course websites for courses I have taught at Johns Hopkins.
These pages are copies of the Canvas sites for courses I have taught at Johns Hopkins, with homework, quizzes and exams left out.
Foundational Mathematics of Artificial Intelligence
A JHU pre-college summer course: data, regression, classification and neural networks in Python.
Introduction to Computational Mathematics
Floating point, linear systems, least squares, root finding, interpolation and ODEs.
Monte Carlo Methods
Monte Carlo estimation, sampling, MCMC and their applications.
Graph Theory
Trees, matchings, network flows, spectral graph theory and the probabilistic method.
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