## Course Materials

Materials for current courses will be posted here at the appropriate time, and past courses will be archived for posterity. If you would like to use these assignments in your own courses please contact me.

### GraduatE Courses

#### Numerical Methods I, NYU, Fall 2014
and Fall 2010

This course is the first part of a two-course series meant to
introduce Ph.D. students in mathematics to the fundamentals of numerical
mathematics. It covers most subjects except for
differential equations.
#### Special Topics:
Coarse-Grained Models of Materials, NYU, Fall 2013 and
2011

In this special-topic course we will discuss the fundamental
ideas behind coarse-grained models of materials, as well as
computational algorithms for mesoscopic modeling of gases,
liquids, solids, and granular materials. Students will study a
review or seminal paper and present what they have learned in
class.
#### Special Topics: Computational Fluid
Dynamics, NYU, Fall 2016/2014 and Spring 2013

This course is a graduate-level course advanced numerical
techniques for solving PDEs, with a particular focus on fluid
dynamics. This includes advection-diffusion-reaction
equations, compressible and incompressible Navier-Stokes
equations, and fluid-structure coupling.
#### Scientific Computing, NYU, Fall
2015, Spring 2012 and 2011

This course is a graduate-level practical introduction to
computational problem solving, including numerical linear
algebra, optimization, interpolation, numerical integration,
Fourier transforms, and Monte Carlo methods.### Undergraduate Courses

#### Ordinary Differential Equations, NYU, Fall 2012

This course is an introduction to differential equations for both majors and non-majors. Topics covered include first and second order equations, series solutions, numerical methods, dynamical systems, and integral transforms.#### Partial Differential Equations, NYU, Spring 2016

This course will be primarily focused on the theory of linear partial differential equations such as the heat equation, the wave equation and the Laplace equation, including separation of variables, Fourier series and transforms, Laplace transforms, and Green's functions, and some basic numerical methods.#### Physics Computations, MSU, Fall 2000

Some of the materials that I
designed under the supervision of Dr. Phil Duxbury
for the Physics Computation course series at Michigan State
University can be found here (this is
a local copy of the old site). Here
is the Fortran manual that
I wrote for that course.