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    Learning to Pipet Correctly by Pipetting Incorrectly?
    Beginning undergraduate students in biology need basic laboratory, data analysis, and science process skills to pursue more complex questions in course-based undergraduate research experiences...

    Keywords: statisticslaboratorypipetting

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    A Structured Inquiry-Based Module for the Undergraduate Cell Biology Laboratory That Teaches Fundamental Concepts of Cell Differentiation
    Pedagogical research in science education has shown that students effectively learn science by doing science. As a result, there is increased interest in bringing research-like experiences into the...

    Keywords: fluorescence microscopygene expressionpolymerase chain reactionCell Structurecell culturewestern blottingdifferentiationreverse transcription

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    Calling Bullshit Bates College DCS 105 RByte Slides
    This slide deck is a mix of in-class participation and coding activities which aims to formalize understanding of code.

    Keywords: RIntroductorybatescolabDCS 105Calling Bullshit

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    Module M.5 Linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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    Module M.8 Survival analysis
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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    Module M.6 Generalized linear models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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    Module M.4 Simple linear regression analysis
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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    2008-Brian_Winkel-Fourier_Series-Optimization_Opportunity
    We discuss the introduction of Fourier series as an immediate application of optimization of a function of more than one variable.

    Keywords: optimizationdiscoveryFourierFourier seris

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    1-002-IntegratingFactor-TechniqueNarrative
    We develop a strategy to solve first order differential equations by transforming one side of the equation to the derivative of a product of two functions, thereby making it easy to...

    Keywords: Integrating Factor

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    1-039-StochasticPopModels-ModelingScenario
    We develop strategies for creating a population model using some simple probabilistic assumptions. These assumptions lead to a system of differential equations for the probability that a system is...

    Keywords: Probabilitypopulation dynamicsVarianceMeanstochasticdeterministic

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    1-054-GrowthInFarmland-ModelingScenario
    An enriching project developing a model from data with missing temporal information is described. Students fit functions to the data that leads to the creation of a differential equations model,...

    Keywords: fittingfarmfarmland

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    1-066-USCensusModeling-ModelingScenario
    The United States Census, conducted every 10 years, gives data on the United States population, that can be modeled with the exponential, logistic, or Gompertz functions.

    Keywords: datalogisticpopulationGompertzcensusgoodness of fit

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    1-067-ModelingWithSigmoidCurves-ModelingScenario
    The assignment considers two well-known models of population growth, Verhulst-Pearl and Gompertz models, for which qualitative and quantitative analyses are provided. The graphs of the...

    Keywords: logisticGompertzsigmoidVerhulst-Pearl

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    1-143-PopulationModelVariationsMATLAB-ModelingScenario
    Students will walk through a detailed derivation and review of basic population models (exponential and logistic) to create and understand variations of those models.

    Keywords: population dynamicsecologylogistic growthbifurcation theoryslope fieldsextinctionharvestingqualitative analysisstocking

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    3-010-EnergyInSpringMassSystem-ModlingScenario
    As a way to synthesize the effects of damping and forcing terms, this activity is meant to encourage students to explore how different forcing terms will change the total energy in a mass-spring...

    Keywords: energymass-spring systemkinetic energypotential energytotal energy

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    The intersection of research and operations in Meteorology with Dr. Katie Wilson
    National Oceanic and Atmospheric Administration (NOAA) scientist Dr. Katie Wilson discusses with us the intersection of research and operations in the field of Meteorology.

    Keywords: climatenoaameteorologyweather

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    Setting Up Nonparametric Tests
    This swirl lesson will show you how to rearrange your data within R from one that shows a multiple factor design (2 x 2) to a single factor (4 levels) to allow for data analyses that require...
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    Module 4: Removal of Introns from pre-mRNA by Splicing
    In this module, students will learn to identify splice donor and acceptor sites that are best supported by RNA-Seq data, and use the canonical splice donor and splice acceptor sequences to identify...

    Keywords: geneticsdata visualizationmolecular biologygenomicsexonintronsplicingSimilarity searchesRNA Maturation

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    Exploring Random Mutation and Selection: Avida-Ed Lab Book Exercise 2
    An introductory activity exploring the role of random mutation in natural selection using the Avida-ED simulation.

    Keywords: avida-edmutationsoftware simulationsSelectionvariation

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    The p53 Gene and Cancer
    This tutorial describes the structure and function of the p53 protein, how its activity is regulated in cells, and how mutant versions of p53 can lead to cancer.

    Keywords: Resources @ HHMI - BioInteractiveBiochemistrymolecular biologymacromoleculesGenetic disease

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