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    Introduction to Quantitative Biology - Fall 2014 Syllabus
    Syllabus for Introduction to Quantitative Biology taught at the College of William and Mary.

    Keywords: quant biosyllabus

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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.
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    Introductory Science and Mathematics Education for 21st-Century Biologists
    A unified introductory science curriculum that fully incorporates mathematics and quantitative thinking aimed to incorporate biology into the traditional quantitative cultures that have come to...
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    BIO103R: Bio 103 and 104 Labs in R at URI
    GitHub repository for Bio 103 and 104 Labs in R at University of Rhode Island

    Keywords: R

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    Quantitative Reasoning: Peer Review 16(3), 2014
    In this issue of the journal Peer Review, the authors discuss the issues surrounding quantitative literacy.
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    Wellesley College Study Packet for the Quantitative Reasoning Assessment
    This packet contains a set of 24 practice questions and 2 full-length practice assessments for the Quantitative Reasoning Assessment for Wellesley College.
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    BIO 263 Ecological Data Analysis
    Course materials for BIO 263 Ecological Data Analysis
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    Backyard Beetles + Pollinators Lab for BIO 3400 Ecology at Greensboro College
    This contains Dr. Sandra Cooke's modifications to the EREN-NEON FLP Backyard Beetles + Pollinators project developed for BIO 3400 Ecology, an upper level course taught in person at Greensboro...
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    TuNE-BIO - Transforming Assessment, Feedback, and Grading in Undergraduate Biology Education (RCN-Introduction)
    The aim of TUnE-BIO is to transform assessment, feedback, and grading practices in undergraduate biology classrooms to combat “weed-out” culture and decrease inequities. Our incubator year focused...
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    BIO 439/539: Big Data Analysis
    Course materials for BIO 439/539: Big Data Analysis
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    Bio 18: Statistics for Scientific Data Analysis
    Poster on the a data science course presented at the 2019 BioQUEST & QUBES Summer Workshop
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    An Adaptation of "Lichens in Diverse Landscapes" for BIO 3400 Ecology at Greensboro College
    This resource includes a lichen data analysis lab that I adapted for students in BIO 3400 Ecology, an upper level in person course at Greensboro College that met during the Fall 2020 semester.
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    Essay to students about the fallacy of fixed math ability
    Essay written in 2014 for freshmen in an intro bio course on the fallacy of fixed math ability
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    2015-European_Bioinformatics_Institute-Bio-Models-Database
    Bio Models Database is a repository of computational models of biological processes. Models described from literature are manually curated and enriched with cross-references. All models are...
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    The Effect of Instructor Communication on Student Perceptions of Mathematics in Biology
    Undergraduate research poster presented at the Undergraduate Research Symposium at the University of Pittsburgh in 2015.
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    Teaching biostatistics using the Rule of Four
    A guide to helping intro bio students develop a deeper understanding of key statistical concepts by translating among numeric, graphical, verbal, and symbolic representations.
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    Exploring the population dynamics of wintering bald eagles through long-term data
    This is an FMN participant modification of the TIEE module "Exploring the population dynamics of wintering bald eagles through long-term data" authored by Julie Beckstead, Alexandra N....
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    2015-Boggess-EtAl-Mathematical Modeling in Ecology - Simulating the Reintroduction of the Extinct Passenger Pigeon
    To determine under which conditions a Passenger Pigeon could survive a reintroduction into a natural habitat, we used two types of models.
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    2015-The European Bioinformatics Institute-BioModels Database
    BioModels Database is a repository of computational models of biological processes. Models described from literature are manually curated and enriched with cross-references.
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