Geology

Computers in Geology (Undergraduate 4th year)   
This course is designed to teach analytical thinking in geological sciences using computing applications. A variety of tools will be used to study, image, and model geological science information and data. Computer hardware and networking basics are also covered, as well as graphics and visualization tools, including spread sheet programming, curve fitting, MATLAB, GMT, and building web pages. Throughout this course, data sets will be used from many different sub-disciplines in the Earth Sciences to learn different data processing, modeling, and imaging techniques.

Professor Name: Ed Garnero
Department: Department of Geological Sciences
University: Arizona State University

http://garnero.asu.edu/teaching/GLG410/glg410.html
Submitted Aug 23, 2007 by Ed Garnero
Updated Aug 12, 2008
Structural Geology   
Description: This class deals with ways to recognize and characterize major structures in the earth's crust and ways to gain insight into how these structures form. It also explores techniques for determining the sequence in which structures form. Geometric and timesequence information is integrated with fundamental material in mathematics and physics to introduce students to how the earth's crust can be viewed as a mechanical system. The class will focus on macroscopic structures but will also introduce students to some of the fascinating structures that form at the microscopic scale.
Course material created by Professor Steve Martel.
Target audience: Advanced undergraduate (3rd or 4th year)
Institution: University of Hawai'i at Manoa
Materials available: Lab materials, Course outline or syllabus
Products: MATLAB


http://www.soest.hawaii.edu/martel/Courses/GG303/
Submitted Jul 23, 2008 by Dina Yuryev
Updated Aug 12, 2008
Computational Methods in Geological Sciences   
Description: This course covers topics essential to understanding geophysical data processing, many related to time series analysis. These include: data processing concepts; frequency domain methods, the discrete Fourier transform; time domain methods and linear filters; random variables; and least squares.
Course material created by Professor Clark R. Wilson
Target audience: Advanced undergraduate (3rd or 4th year)
Institution: University of Texas
Materials available: Problem sets or projects, Course outline or syllabus
Products: MATLAB


http://www.geo.utexas.edu/courses/325K/
Submitted Aug 06, 2008 by Dina Yuryev
Updated Aug 13, 2008
Inverse Methods in Geophysics   
Description: This course focuses on the fundamentals of inverse theory. Emphasis will be on the discrete linear problem, but both nonlinear and continuous inverse problems will be covered.
Course material created by Professor Randall M. Richardson.
Target audience: Graduate
Institution: University of Arizona
Materials available: Problem sets or projects, Course outline or syllabus
Products: MATLAB


http://www.geo.arizona.edu/geo5xx/geos567/
Submitted Aug 06, 2008 by Dina Yuryev
Updated Aug 12, 2008