Available courses

Mathematical modeling involves setting up equations which describe the current state of a portion of the environment. Then the tools of mathematics can be used to describe how this state will evolve, hopefully predicting how the real world state will evolve as well.   The mathematical tools used  most often are linear algebra (matrices), differential equations (also calculus).

In this course we study evolution models that have a random component, unlike the motion of planets for example which are completely predictable as to where they will go next, we study systems with elements of chance, such as repeatedly flipping a coin.  Even then we can make predictions.  The additional tools we will use are probability and markov chains, (and always, calculus, differential equations and matrices)

Moodle course front end for the minicourse at the 2019 JMM 

Standard multivariable course taught using Stewart's calculus book.
This course provides an introduction to matrix linear algebra and in particular its use in solving linear differential equations.

It gives examples of each homework assignment presented in both the original webwork form and a moodle quiz form (the quiz contains the same questions ). It would be useful to have suggestions from those already using moodle quizzes in other contexts as to what behavior they would like for the quiz. It is currently set up to duplicate the standard webwork homework mechanism as closely as possible. Moodle quizzes have many more behavior possibilities than the standard webwork homework.
Introduction to Probability fall 09
Standard multivariable course taught using Stewart's calculus book.
Standard multivariable course taught using Stewart's calculus book.
Standard summer school version of the

multivariable course taught using Stewart's calculus book.

Moodle homepage for Spring 2017 ME205 class on Advanced Mechanical Design

Engineering course --- also connected to webwork course problems.

Standard multivariable course taught using Stewart's calculus book.