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Reviewed collection »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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Resource Type: Activities
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- Cutting Edge 13 matches
- GETSI 6 matches
- Integrate 2 matches
- MARGINS Data in the Classroom 2 matches
- Quantitative Skills 2 matches
- Starting Point-Teaching Entry Level Geoscience 1 match
- Teach the Earth 2 matches
- Teaching Computation with MATLAB 97 matches
Results 1 - 10 of 125 matches
Parametrization and Visualization of Quadric Surfaces part of Teaching Computation with MATLAB:MATLAB Workshop 2019:Activities
Sayonita Ghosh Hajra, California State University-Sacramento
This activity is exploratory and collaborative MATLAB activity. Students will explore and visualize graphs of quadric surfaces. In this activity, students will parametrize equations of surfaces and explore families ...
Data Visualization and Phase Identification through Stacked Plots part of Teaching Computation with MATLAB:MATLAB Workshop 2023:Activities
Sujat Sen, University of Wisconsin-La Crosse
In this classroom activity, students will take experimentally collected powder X-Ray diffraction (XRD) data they have acquired from a laboratory exercise and plot it collectively as a stacked plot against known ...
SIGkit (Software for Introductory Geophysics toolkit) for modelling and visualization of data part of Geophysics:Workshop 07:Geophysics Activities
Charly Bank, University of Toronto
Predicting what geophysical data may look like and making basic inferences from data are critical learning outcomes of introductory geophysics courses whether they happen in a classroom or in a field setting. This ...
Predicting California Housing Prices: Data Visualization and Machine Learning in MATLAB part of Teaching Computation with MATLAB:MATLAB Workshop 2024:Activities
Chao Wang, Arizona State University at the Tempe Campus
This exercise aims to give freshman engineering students a brief introduction to data science, data visualization and machine learning.
Visualizing Systems part of Teach the Earth:Teaching Activities
Lisa Gilbert, Cabrillo College
This activity introduces students to systems thinking visualization with a free online tool, Loopy.
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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 ...
Using AI to modify MATLAB-Scripts to MATLAB-Apps: General solution to computational problem. part of Teaching Computation with MATLAB:MATLAB Workshop 2024:Activities
Julio Hernandez, Polytechnic University of Puerto Rico
This activity teaches educators/students to use a few of the basic concepts of AI and fast track the implementation of Scripts-to-Apps in MATLAB. The user is required to have previous knowledge using Scripts and at ...
Remote Sensing Applications in Hydrology part of Activities
Emad Habib, University of Louisiana at Lafayette
The module offers background content on the fundamentals of remote sensing, but also integrates a set of existing online tools for visualization and analysis of satellite observations. Specifically, students are ...
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Synthesizing Marine Data Sets using MATLAB part of Teaching Computation with MATLAB:MATLAB Workshop 2018:Activities
Diane Fribance, Coastal Carolina University
Students use MATLAB to analyze an oceanographic data set collected in an estuary on a class boat trip, and put it into context using time-series data downloaded from online sources. Some basic oceanographic ...
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Transitioning from Excel to MATLAB Diffusion Models part of Teaching Computation with MATLAB:MATLAB Workshop 2019:Activities
Kendra Lynn, University of Delaware
This activity is part of a larger module that introduces students to two different ways to model chemical diffusion in minerals: 1) 1D diffusion in Excel using finite differences and 2) 1D diffusion in MATLAB using ...