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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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Using MATLAB to understand distributions: Pokémon GO part of Teaching Computation with MATLAB:MATLAB Workshop 2016:Teaching Activities
Benjamin Bratton, Vanderbilt University
This problem set will help teach students how to describe real world distributions. Data science skills that will be covered include measures of central tendency and spread, transformations of distributions, ...

MATLAB Exemplary Collection This activity is part of the Teaching Computation in the Sciences Using MATLAB Exemplary Teaching Activities collection.
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Predicting Coronary Heart Disease Using Machine Learning Model part of Teaching Computation with MATLAB:MATLAB Workshop 2024:Activities
Abhishek Appaji, BMS College Of Engineering
This activity introduces students to supervised learning methods and basic data science techniques using MATLAB. The focus is on the prediction of CHD using logistic regression. This activity involves implementing ...

ROC models for memory part of Teaching Computation with MATLAB:MATLAB Workshop 2023:Activities
weiwei zhang, University of California-Riverside
This teaching activity provides a visual illustration of several major cognitive models of human memory using Receiver Operating Characteristics (ROCs) and Matlab. It is designed to show the students how various ...

Sensitivity of Parameters in Chaotic Systems part of Teaching Computation with MATLAB:MATLAB Workshop 2019:Activities
Namyong Lee, Minnesota State University-Mankato
In this computer lab activity, students explore and discuss the nature of the sensitivity of parameters in a chaotic system. As a result, they understand the challenges of numerical simulation and/or parameters ...

Unit 4.1 - Energy Budgets part of Critical Zone Science
Jim Washburne, The University of Arizona
The purpose of this unit is to explore, compare, contrast, and calculate energy fluxes from different CZO field sites to better appreciate the critical differences in the driving radiative forces affecting each ...

InTeGrate Developed This material was developed and reviewed through the InTeGrate curricular materials development process.
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What is the fate of CO2 produced by fossil fuel combustion? part of Quantitative Skills:Activity Collection
Paul Quay
A box model is used to simulate the build up of carbon dioxide in the atmosphere during the industrial era and predict the future increase in atmospheric CO2 levels during the next century.

MATLAB Exemplary Collection This activity is part of the Teaching Computation in the Sciences Using MATLAB Exemplary Teaching Activities collection.
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CLEAN Selected This activity has been selected for inclusion in the CLEAN collection.
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Unit 4.2 - Carbon Budgets part of Critical Zone Science
Jim Washburne, The University of Arizona
The purpose of this unit is to explore, compare, contrast, and interpret carbon fluxes from the Ameriflux network to better appreciate the critical factors that account for the different timing and magnitudes of ...

InTeGrate Developed This material was developed and reviewed through the InTeGrate curricular materials development process.
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Sophomore Bioengineering Final Project part of Teaching Computation with MATLAB:MATLAB Workshop 2016:Teaching Activities
Princess Imoukhuede, Washington University in St. Louis
Description: As a final project, students apply their knowledge of mass conservation to develop computational models of ligand-receptor signaling. Students systemically examine how signals enter cells ...

MATLAB Exemplary Collection This activity is part of the Teaching Computation in the Sciences Using MATLAB Exemplary Teaching Activities collection.
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Introduction to strings and DNA/protein sequence alignments part of Teaching Computation with MATLAB:MATLAB Workshop 2018:Activities
Benjamin Bratton, Vanderbilt University
This is problem set that helps solidify concepts of computational processing (accessing data, parsing data, visualizing data, using preconstructed tools) and sequence matching, specifically in the context of ...

MATLAB Exemplary Collection This activity is part of the Teaching Computation in the Sciences Using MATLAB Exemplary Teaching Activities collection.
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Principal Component Analysis part of Teaching Computation with MATLAB:MATLAB Workshop 2016:Teaching Activities
Daniel Zysman, Massachusetts Institute of Technology
Principal Component Analysis on the MNIST data set.