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Quantitative Biology at Community Colleges

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    QB@CC Workshop NABT 2022
    Creating and Implementing Quantitative Biology Lessons with QB@CC, Beneficial for Both Faculty and Students

    Keywords: Exponentscommunity collegesquantitative biologyOERNSF RCN-UBE

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    Quantitative Biology at Community Colleges Network Meeting Code of Conduct
    Code of Conduct for the Quantitative Biology at Community Colleges (QBCC) Network Meeting in February 2020

    Keywords: community collegesquantitative biologycode of conductqbcc

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    Teaching Modules from QB@CC: Tools to Improve Biology Student’s Quantitative Skills
    NABT and QB@CC hosted a special webinar to explore the QB@CC OER entitled Sizes, Scales, and Specialization.

    Keywords: NABTPresentationworkshopqbcc

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    QB@CC Community Standards for Events
    Community standards and expectations for in-person and online events hosted by QB@CC

    Keywords: code of conductqbcccommunity standards

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    QB@CC Poster for NABT 2020
    This is a poster presentation at the 2020 NABT Annual PD Conference. This poster describes the goals of QB@CC project, progress in the first year and an update on the upcoming events.

    Keywords: quant bioQuantitative reasoningcommunity collegesquantitative biologyquantitative skillsincubatorsqbccBiology and Math CollaborationOERsNABT 2020NSF grantRCN UBE grantQB learning modules

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    Learn Biological Sciences and Mathematics through cellular respiration, photosynthesis and primary productivity.
    Photosynthesis is a process by which plants synthesize glucose and oxygen in presence of sunlight through light dependent reactions by utilization of sunlight, water to synthesize oxygen, ATP and...

    Keywords: mathematicssimulationThe Analysis of Biological DataMetabolic Pathwaysprocess of sciencephotosynthesisqbccBiological ScienceshypothesisCellular Respirationprimary productivity

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    Choosing healthy data for healthy relationships: how to use 5-point summaries, box and whisker plots, and correlation to understand global health trends.
    This module utilizes a user-friendly database exploring data selection, box-and-whisker plot, and correlation analysis. It also guides students on how to make a poster of their data and conclusions.

    Keywords: Querying databasesgraphingRatiosdata typesstatistical learningcorrelationBox Plotsqbcchealth sciences education researchnutrition & food scienceUnderstanding ratesCreate graphsInterpret graphsinterpret tablesHealth ScienceConcepts in Statisticsexplaining statisticsusing statistics

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