EASC 305: Computational Methods for the Earth Sciences
| Credits: | 3 |
Pre-requisites: | MATH 152, PHYS 121, STAT 101 (all w/ grade C or >) & EASC 101 |
Lecture (hrs/week): | 2 |
| Terms: | Spring |
Co-requisites: | None |
Lab (hrs/week): | 3 |
| Instructors: | Calvert, Flowers | Quantitative | |||
Description:
Implementation of mathematical methods and numerical techniques for problem solving in the Earth sciences. Examples and lab assignments will use Excel spreadsheets and Matlab computer programming/display software. Concepts covered include mathematical techniques for field data and error analysis in the geosciences, basic computer programming concepts and numerical modelling of Earth processes.
Course Topics- Matrices and data organization
- Computer programming basics
- Statistical estimation and noise
- Analysis of time series data: spectra, filtering, and correlation
- Analysis of spatial data: grids, interpolation, and kriging
- Steady-state and time-dependent numerical models
Middleton, G.V., Data analysis in the Earth Sciences using Matlab, Prentice Hall, 260pp., 1999.
Additional Reading:Carr, J.R., Numerical Analysis for the Geological Sciences, Prentice Hall, 592pp., 1995.