12.747: Modeling, Data Analysis and Numerical Techniques for Geochemistry

This course emphasizes the basic skills needed for handling and assimilating data as well as the basic tool-set for numerical modeling. The course will use MATLAB as it's computation engine and the course will begin with an introduction to MATLAB to ensure familiarity with this software. Topics covered in this course will include: probability distributions, error propagation, least squares and regression techniques, principle component and factor analysis, objective mapping, Fourier and spectral analysis, numerical solutions to ODEs and PDEs, finite difference techniques, inverse models, and scientific visualization. This course was created by David Glover and William Jenkins, Woods Hole Oceanographic Institution, Fall 1996.

This is the resource page for MIT/WHOI course number 12.747. On this page we hope to provide

The text, graphics, and other materials contained in this homepage and attached documents are intended solely for scholarly use by the scientific and academic community. No reproduction, re-transmission or linking of this page to any other page without the author's expressed written permission is permitted.
© 1998, 2000, 2002, 2004, 2006, 2008, 2010, 2012, 2014 -- David M. Glover, William J. Jenkins, and Scott C. Doney, WHOI --