“From personal experience as a student of Michael, I highly vouch for his excellence as a teacher. He challenged us and allowed us to grow intellectually while making it an incredibly meaningful and enjoyable experience.”— Elizabeth Feather
“Having taken courses from Michael, I highly recommend him as a mathematics instructor. His level of mathematical expertise combined with his unique style of teaching makes him a superior educator.”— Daniel Putnam
“As a former student and a current math teacher myself, I can only speak highly of the information on this site and of Michael’s teaching style. He has a way of taking complex, difficult concepts and explaining them in a way where it is not only easy to understand, but where it leaves you with a sense of mastery of the subject.”— Walker Gemmill
Contact me we will set up a time to meet online. We can use Skype, Google Hangouts, or another method of your choice.
General math concepts that are not taught in the usual math sequence. Covered an introductions to set theory, algorithms, number theory and graph theory.
An introductory statistics course that satisfies the math requirement for nursing majors.
An introductory statistics course that satisfies the math requirement for business majors.
Introduction to graphs, planar graphs, graph colorings, graph traversal, connectivity.
Deterministic and random models of population dynamics, cancer and HIV.
Introduction to Java and Object Oriented Programming.
Vectors, matrices, row reduction, vector spaces and subspaces, eigenvalues and eigenvectors, Markov matrices.
Multivariable derivatives, chain rule, Lagrange multipliers, 3D coordinate system, polar and spherical coordiantes, parameterization of paths, multivariable integration.
Overview of the history of math from origins (e.g. using rocks or cords to track livestock) to present day.
Structure of the real number system. Limits, derivatives and Riemann integrals.
Complex numbers and variables, Mobius transformations, derivatives and integrals.
Probability measures, random variables, joint distributions, introduction to Markov chains.
Markov chains and martingales. Financial binary models, multidimensional Poisson processes.
Topics were chosen by students. Examples include actuarial mathematics and advanced programming.
Logic, proof writing, elementary number theory, functions, cardinality.
Practiced solving problems that appeared on the Putnam Competition and prepared teams for the competition.
Individual projects that included building math software and financial math.
Introduction to groups, subgroups, quotient groups. Intorduction to rings, ideals and quotient rings.
Learning – Teaching – Traveling
I have a passion for learning and discovering new things. I got a Ph.D. in math by publishing two papers on cancer models and then became a professor. While a professor, I realized I had a love for teaching. I left the ivory tower and got a job as a curriculum designer and have been helping people ever since.