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The Teaching Computation in the Sciences Using MATLAB activities are submitted by workshop participants, community members, and other SERC community participants. All of the activities in the collection use MATLAB in some capacity and cover a variety of STEM courses and topics.

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Data Analysis Activity Using MATLAB part of Teaching Computation with MATLAB:MATLAB Workshop 2019:Activities
Michael Ray, California State University-Sacramento
In this activity students will develop a model of air resistance, then perform an experiment using coffee filters, rulers and a stopwatch to test it. They will collect the data, then analyze it and produce a high ...

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Physico-chemical Oceanographic data analysis part of Teaching Computation with MATLAB:MATLAB Workshop 2023:Activities
Most Israt Jahan Mili, University of Massachusetts-Dartmouth
This activity is a part of the course that can be used for either physical oceanography (CTD data profiling) or chemical oceanography lab exercise. This is included with the real-time field sampling data that was ...

Introductory Data Analysis for Mineral Processing part of Teaching Computation with MATLAB:MATLAB Workshop 2024:Activities
Nathalie Risso, The University of Arizona
This in-class workshop seeks to familiarize students from mining and geological engineering with basic tools used for data analysis. The learning outcomes include to formulate goals for data-driven model generation ...

X-ray vision for aspiring superheroes: Introduction to Ground Penetrating Radar data analysis using Matlab part of Teaching Computation with MATLAB:MATLAB Workshop 2017:Activities
Alain Plattner, California State University-Fresno
To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video Click to watch Alain Plattner discuss his activity or watch the full webinar.In this lab activity, ...

Gravity prospecting part of Teaching Computation with MATLAB:MATLAB Workshop 2017:Activities
James Conder, Southern Illinois University Carbondale
Students are given a set of gravity data with the aim of finding high density anomalies in the subsurface. Keywords: Data analysis; inverse modeling

MATLAB Exemplary Collection This activity is part of the Teaching Computation in the Sciences Using MATLAB Exemplary Teaching Activities collection.
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Using MATLAB and smartphone to learn the measurement of motion part of Teaching Computation with MATLAB:MATLAB Workshop Dec 2021:Activities
Supachai Vorapojpisut, Thammasat University
MATLAB Mobile is used to acquire motion movement from smartphone sensors. Then, students will use MATLAB to practice several modern engineering skills including data visualization, data analysis and application ...

Teaching Seismic Data Analysis with the GISMO toolbox for MATLAB part of Teaching Computation with MATLAB:Teaching with MATLAB 2015:Teaching Activities
Glenn Thompson, University of South Florida
GISMO is an object-oriented toolbox for seismic data analysis, and a set of tutorials are being built around this. Students learn how to read seismic waveform and event catalog data either from local files or ...

Exploring hypothesis-driven research using Arduino boards and Matlab part of Teaching Computation with MATLAB:MATLAB Workshop October 2021:Activities
Sara Wilson, University of Kansas Main Campus
In this activity, students explore hypothesis-driven research through the development of an experiment using Arduino Uno style microcontroller boards and Matlab. This project encourages students to develop a ...

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MATLAB LIGO Analysis part of Teaching Computation with MATLAB:MATLAB Workshop 2019:Activities
Duncan Carlsmith, University of Wisconsin-Madison
Foundational computational skills for physics students can be developed in an introductory 2-semester survey course for first-year university physics students using physics-data-driven exercises that introduce ...

Preparing data for climate change analysis using MATLAB part of Teaching Computation with MATLAB:MATLAB Workshop 2019:Activities
Alexandre Martinez, University of California-Irvine
In this activity, we mainly learn the importance of analyzing data format before applying models to it, with the examples of drought. We use monthly precipitation from the Climate Research Unit (gridded data) and ...