Forty-Fourth Annual
State of Jefferson Mathematics Congress
October 2-4, 2015
Whiskeytown Lake, CA


Numerical Solution Techniques Applied to the Wave Equation by Tiernan Fogarty, Oregon Institute of Technology.

Undergraduate math students will most likely take a course in partial differential equations and be exposed to the one-dimensional wave equation. While exact solutions exist under various conditions, interesting applications often require numerical solution techniques. In this talk we give a brief reminder of the derivation of the wave equation followed by a discussion of circumstances where exact solutions can't be expected. Finite volume and finite difference methods for numerical solutions are introduced and compared via a set of examples chosen to demonstrate the methods' strengths and weaknesses.

Let's Get  Series about Calculus by Jeff Haag, Humboldt State University.

Infinite series contribute to calculus' reputation as being difficult. But, like most useful mathematics, series serve to simplify deep notions. We start with the Basel problem, that is, determine the sum

Sum from n=1 to infinity of 1 over n-squared equals 1 plus 1/4 plus 1/9 plus 1/16 and so forth.

Our efforts to solve the Basel problem take us back to basic algebra, then on to calculus, differential equations, physics, and beauty in these and other areas. Be prepared to get series about calculus!

Discussion Under the Oaks — Re-randomization Under the Oaks: a New Tool for an Old Test led by Jeff McLean, Sonoma State University.

George Cobb claimed that the standard introductory statistics course, employing methods of statistical inference based on the normal distribution, was "an unwitting prisoner of history." These methods were once necessary since much simpler approaches, such as re-randmization, were computationally out of reach. In this interactive discussion, we do simple physical simulations to demonstrate how the process of re-randomization capitalizes on visual learning and allows you to "see" key concepts of statistical inference.



Aaron Curfman SU
Adam Falk HSU
Adrian Smith SSU
Alex Scrobonia SSU
Andres Merlos HSU
Ariana May SOU
Ben Morales HSU
Caleb Hill HSU
Caylan Kolste HSU
Crystal Salas SSU
Elaine Newman SSU
Elise Hampton SOU
Elizabeth Feather SU
Greg Detweiler SOU
Gregg Waterman OIT
Heather Harrison SSU
Jacob Schultz SOU
James T. Smith SFSU
JaneEllen Barrow SSU
Jeff McLean SSU
Jim Fischer OIT
Joanna Beem HSU
Joe Collins SOU
Jonathan Hooper SU
Karen Castillo SU
Karlie Elliott HSU
Kemble Yates SOU
Ken Yanosko HSU
Kyle Hultquist SOU
Kylie Reich HSU
Larry Shrewsbury SOU
Maddalena Heisler SSU
Matthew Hall HSU
Michael Kelly SU
Miguel Otivares HSU
Mo Pfeifer SOU
Nick Franceschine SSU
Randall Paul OIT
Rick Luttmann SSU
Rick Spjut UCSB
Ross Jacobs SSU
Terris Becker SSU
Thomas Burns SOU
Tiernan Fogarty OIT
Walker Gemmill SU
Wenjing Li SU
Yesenia Torres HSU