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    Bates College DCS 105 Calling Bull: Data Literacy and Information Science Course Slides
    Slides that accompany the Course DCS 105 Calling Bull: Data Literacy and Information Science from Bates College
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    DCS 105 Calling Bull F24 Schedule
    Schedule overview for Bates College Course DCS 105 Calling Bull
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    Introduction to Primate Data Exploration and Linear Modeling with R
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology research students on data management and statistical...
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    SARS-CoV-2: Understanding, Applying and Communicating Science
    The ability to integrate process of science training with necessary skills in applying and communicating core theories in biological science and biology quantification, has been brought into focus...
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    SARS-CoV-2: Understanding, Applying and Communicating Science
    The ability to integrate process of science training with necessary skills in applying and communicating core theories in biological science and biology quantification, has been brought into focus...
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    Studying phylogeny by producing phylogenetic trees of primates using morphological and molecular characteristics.
    An assignment constructing phylogenetic trees using shared, derived morphological traits and molecular differences among 18 primate species and two outlier species has been developed. Skull and...
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    The Mathematics of Voting Systems: Plurality, Runoff and Ranked Choice
    In this five-day interdisciplinary math and social studies unit, students use math to create informed opinions about the three most common voting systems in the United States: plurality, runoff and...
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    Tree Biomass and Phenology
    This lesson centers around understanding the connection of tree biomass and phenology with climate change. It uses both swirl and LearnR lessons in the R programming language to help students make...
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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.
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    Free Math Games for Algebra, Pre-Algebra and Co-requisite Courses
    These three games were created as part of grant #1501499 for the National Science Foundation. Games cover concepts in pre-algebra, algebra and precalculus, but can also be played just for fun!
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    Designing an Anti-Racist Syllabus
    The Alliance for the Black Community (ABC) developed a workshop to help faculty at California State University East Bay redesign their syllabi to incorporate anti-racist pedagogical practices.
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    Remote sensing data processing – NEON airborne data
    Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to...
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    Exploring how climate will impact plant-insect distributions and interactions using open data and informatics
    This teaching module provides an entry point for students to learn about data science, open data repositories (e.g., citizen science data), and species distribution modeling to study the effects of...
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    Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
    This lesson plan was created to teach RNAseq analysis as a part of GCAT-SEEK network. It is provided here, both in finished form and with the modifiable source code, to allow flexible adaptation to...
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    Designing a High Quality and Accessible Scientific Poster
    The aim of this project is to help undergraduates understand the importance of making their research accessible to a wide audience and to practice this idea by deliberately designing a scientific...
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    Writing Microbiology Resource Announcements (MRA)
    This resources provides a framework for students to write a Microbiology Resource Announcement, collaboratively.
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    Using genomic data and machine learning to predict antibiotic resistance: a tutorial paper
    Antibiotic resistance is a global public health concern. Bacteria have evolved resistance to most antibiotics, which means that for any given bacterial infection, the bacteria may be resistant to...
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