From zero to Matlab in six weeks - with Freshmen part of Teaching Computation with MATLAB:Past Workshops:Teaching with MATLAB 2015:Course Descriptions
Frederik J Simons, Princeton University; Adam Maloof
How to bring Freshmen up to speed in Matlab programming. A series of targeted demonstrations and exercises accompanying a first one-semester course (a "Freshman Seminar") in the Geosciences as taught at ...

Data Analysis part of Teaching Computation with MATLAB:Past Workshops:Teaching with MATLAB 2015:Course Descriptions
David Heslop, Australian National University
The aim of this course is to provide an introduction to statistical and numerical techniques that are useful in the analysis and characterization of geological data. A focus is placed on conceptual understanding of ...

An Introduction to MATLAB for Geoscientists part of Teaching Computation with MATLAB:Past Workshops:Teaching with MATLAB 2015:Course Descriptions
David Heslop, Australian National University
This is an intensive 3-day course with no pre-requisites. It provides an introduction to MATLAB through interactive examples and hands-on problem solving. The course aims to provide students with a basic knowledge ...

Introduction to Geophysics part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2019:Course Descriptions
Gordana Garapic, State University of New York at New Paltz
Geophysics is the study of physical processes of the solid Earth. Many problems in geophysics can be expressed and visualized by relatively simple equations. MATLAB is a convenient way to do this in practice. The ...

Programming Applications for Engineers part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2018:Course Descriptions
Eugene Mahmoud, Mt San Antonio College
Programming Applications for Engineers is an integrated, lecture-lab, semester-long course that introduces lower-division engineering and physics students to numerical analysis and computational problem solving. ...

Data Science for Biologists part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2018:Course Descriptions
Michael Wright, California State University-Sacramento
The primary goal for this course will be to teach data science techniques to upper division biology students. Students will learn how to work with data originating from different fields within Biology.

Vince Cronin: Using GPS, Strain, and Earthquakes in Structural Geology at Baylor University part of GPS, Strain, and Earthquakes
Vince Cronin, Baylor University
Students get particularly excited when they learn that GPS deformation analyses are a recent research area that most geology majors are not even studying yet and are really tickled to learn frontier science. Learning about earthquakes from the position of research that could be helpful to societal planning, empowers them to think about geology in a much more active way: make geohazards more manageable. They were very interested to see the link between GPS measurements of strain in the crust and faults and folds that seem to be the product or physical manifestation of the strain that they computed. And where those faults pass through population centers, they came to understand the growing threat faced by the people of those communities.

Geological Applications of GPS Geodesy part of Geodesy:Courses
Guoquan Wang, University of Puerto Rico-Mayaguez
This course provides an overview of the major space geodetic techniques and focuses on the theory and practice of the Global Positioning System (GPS). The course also provides hands-on experience using GPS data to ...

Introduction to Geophysics part of Course Design:Goals Database
Jackie Caplan-Auerbach, Western Washington University
This course presents a broad overview of geophysical topics and techniques, including magnetism, heat flow, gravity and both active and passive source seismology. An underlying theme for the course is the ...

Model structure uncertainty with MARRMoT part of SERC:External Collection:Hydrolearn
This module is designed to introduce students to the concept of hydrologic model structure uncertainty. Students will work with the CAMELS data set and the MARRMoT model toolbox to calibrate two models for two ...