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    Applying Universal Design for Learning (UDL) Principles to Case Studies
    This is a presentation for the 2022 BIOME meeting.
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    1-005B-ChemDataCollection-ModelingScenario
    A chemistry graduate student is collecting data on a chemical reaction and does a poor job of collecting the data. Indeed, he only collects the data at the start and end of a number of three minute...

    Keywords: kineticslaboratoryorder of reactionchemical reactionchemical datainfusion

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    1-001s-StochasticMDeathImmigration-ModelingScenario
    We develop a mathematical model of a death and immigration process using m&ms as a stochastic process with the help of probability generating functions (pgf). We start with 50 m&ms in a bag.

    Keywords: simulationdatalogisticimmigrationstochasticdeathfitting

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    1-001d-HotelPopulationDecay-ModelingScenario
    You will be modeling the following situation: 100 people are in a hotel. Each day, each person has a random chance of 50% of leaving the hotel. No new people enter the hotel. Before you run the...

    Keywords: simulationlogisticexponential decayfitting

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    1-137-SheepGraze-ModelingScenario
    In this activity, students will apply graphical analysis (such as phase lines) to determine the long-term predictions of a differential equation model for pasture grass using two different formulas...

    Keywords: herbivoreplantphase linesbifurcationoverexploitationsheepgraze

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    1-141-MMGameRevisited-ModelingScenario
    It is assumed that the probability of an M&M chocolate, when tossed, falling on the M side is 0.5 The goal is to find a probability distribution of the probability q which is Pr(randomly chosen...

    Keywords: Probabilitystochastic processesBayesian methodsprobability distribution

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    3-004-VanderPol-ModelingScenario
    This paper presents an electronic spreadsheet model of the Van der Pol oscillator, a well-known nonlinear second-order ordinary differential equation.

    Keywords: phase planeVan der Pol oscillatorlimit cycleRunge-Kutta methodLienard equation

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    5-012-LipoproteinModeling-ModelingScenario
    Data from a study on the amounts of low-density-lipoprotein (LDL), form of cholesterol, in blood plasma is presented. Students build, validate, and use a compartment model of the kinetic...

    Keywords: wildlifelow-density-lipoproteintracercompartment modelcholesterolblood plasmabody tissue

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    6-009-FakeNews-ModelingScenario
    In modern society, creating and disseminating information is easier than ever. In this project, you will model the spread of fake news and investigate ways to deter distributing misinformation.

    Keywords: sensitivity analysisSIR modelsSIS modelfake news

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    1-127-FishHarvesting-ModelingScenario
    We offer students a harvesting model for operating a fishery over a 25 year horizon and ask them to write a report on optimal harvesting policy with their analyses for fishing industry experts (not...

    Keywords: Management Of Dataoptimal controlfisherieslogisticharvestingmaximum sustainable yield

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    3-020-ChordPathTime-ModelingScenario
    Using Newton's Second Law of motion we can determine the time it takes for a mass to slide along a chord of a vertical circle from high point to any point along the circle. Initially, the result is...

    Keywords: Unit CirclepathfallinggravitychordNetwon's Second Law of Motion

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    The Legacy of Redlining in Oakland, CA
    The issues of redlining and environmental justice will be introduced and used as a framework for a number of topics in the third part of the semester in a non-majors Environmental Science course.

    Keywords: environmental scienceenvironmental justiceredliningenvironmental racism

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    Oyster Restoration Success and Water Quality in the James and Rappahannock Rivers of Virginia
    This QUBES lesson uses statistical analysis to test whether or not oyster restoration sites in Virginia are successfully increasing the number of oysters and whether or not water quality is...

    Keywords: aquatic ecologymarine ecologyggplot2Pearson correlation coefficientSimple Linear RegressionnitrogenJames Rivertidyversechesapeake baywater qualityphosphorusharmful algae bloomsvirginia

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    GEA Introductory lesson on RNA-Seq
    This RNA-Seq lesson uses the CyVerse VICE Platform and Jupyter notebooks to examine the expression of the leptin gene in samples from a mouse experimental design evaluating diet (high-fat vs....

    Keywords: data sciencebioinformaticsGenome BrowserRNAseqhigh throughput sequencingmRNAAlignmentNCBI Sequence Read Archive

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    Hardy-Weinberg Equilibrium: a swirl resource
    Students will use swirl to understand Hardy-Weinberg equilibrium. The lesson starts with observed numbers of individuals for each genotype, and students will work through a number of steps to...

    Keywords: Hardy-Weinbergpopulation geneticsEvolutionevolutionary ecologyR programming languageSwirl

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    Using Digitized Collections-Based Data in Research: A Hands-On Crash Course in Ecological Niche Modeling
    Step-by-step, hands-on instruction on ways to access and download these specimen data, how to process climate layer data, and how to apply Maxent software to construct ecological niche models.

    Keywords: ecology labbiodiversity informaticsnatural history collectionsMicrosoft Excelbiodiversity collectionsRstatsecological niche modelingQGISENMToolsMaxent

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    Chi-squared test of independence between two categorical variables
    In this lesson, students will have the opportunity to work through a chi-squared test of independence between two categorical variables.
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    Using Synthetic Biology to Teach Data Science
    Poster and supplemental materials on using synthetic biology to introduce students to meaningful data mining, analysis, and application to engineering novel biological constructs.
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    Synapse Transmission and Action Potentials
    This module introduces action potentials in the context of understanding nerve impulses. It is intended for an introductory biology audience.

    Keywords: InequalitiesOpenStaxAnimal Physiology

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    An Introduction to Statistical Learning: with Applications in R
    This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.

    Keywords: linear regressiontextbookclassificationcourseclustering coefficientR programming languagestatistical learningmachine learninglogistic regressionresamplingmodel selectionGeneralized additive modelsdecision treesprincipal components analysisMOOCResources @ QUBES - Teaching & Reference

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