This is a laboratory course supplemented by lectures that focus on selected analytical facilities that are commonly used to determine the mineralogy, elemental abundance and isotopic ratios of Sr and Pb in rocks, soils, sediments and water.

This course is an intensive introduction to the techniques of experimental chemistry and gives first year students an opportunity to learn and master the basic chemistry lab techniques for carrying out experiments. Students who successfully complete the course and obtain a "Competent Chemist" (CC) or "Expert Experimentalist" (EE) rating are likely to secure opportunities for research work in a chemistry lab at MIT. Acknowledgements The laboratory manual and materials for this course were prepared by Dr. Katherine J. Franz and Dr. Kevin M. Shea with the assistance of Professors Rick L. Danheiser and Timothy M. Swager. Materials have been revised by Dr. J. Haseltine, Dr. Kevin M. Shea, Dr. Sarah A. Tabacco, Dr. Kimberly L. Berkowski, Anne M. (Gorham) Rachupka, and Dr. John J. Dolhun. WARNING NOTICE The experiments described in these materials are potentially hazardous and require a high level of safety training, special facilities and equipment, and supervision by appropriate individuals. You bear the sole responsibility, liability, and risk for the implementation of such safety procedures and measures. MIT shall have no responsibility, liability, or risk for the content or implementation of any of the material presented. Legal Notice 

This course is an introduction to numerical methods and MATLAB®: Errors, condition numbers and roots of equations. Topics covered include Navier-Stokes; direct and iterative methods for linear systems; finite differences for elliptic, parabolic and hyperbolic equations; Fourier decomposition, error analysis and stability; high-order and compact finite-differences; finite volume methods; time marching methods; Navier-Stokes solvers; grid generation; finite volumes on complex geometries; finite element methods; spectral methods; boundary element and panel methods; turbulent flows; boundary layers; and Lagrangian coherent structures (LCSs).

" This graduate-level course is an advanced introduction to applications and theory of numerical methods for solution of differential equations. In particular, the course focuses on physically-arising partial differential equations, with emphasis on the fundamental ideas underlying various methods."