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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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    Modeling: A Primer - The crafty art of making, exploring, extending, transforming, tweaking, bending, disassembling, questioning, and breaking models
    Explore how to use, analyze, and criticize some important and historically influential models in biology in this text only module.
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    COVID-19 Simulator (ISEE) Module
    This accessible module guides students through exploring the COVID-19 Simulator developed by ISEE. Students dig into the four scenarios provided (including the parameters and the graphs),...
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    Discrete Math Modeling with Biological Applications (Course Materials)
    These are the materials for Math 214 offered at Rhodes College.
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    Modeling Soil Fluxes with NEON Data
    This activity is an exploratory activity to understand rates of change of soil carbon dioxide in different ecosystems using data provided by the National Ecological Observatory Network (NEON,...
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    Quantifying Bacterial Growth in the Guts and Hemolymph of Fruit Flies: Mathematical Modeling and Data Interpolation/Extrapolation
    In this activity, students will analyze raw data obtained from an experiment that explores the effect of overexpressing the Ssk protein in order to strengthen the intestinal barrier and prevent...
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    Project MOSAIC
    Our goal: Provide a broader approach to quantitative studies that provides better support for work in science and technology.
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    Modeling Trophic Interactions in Rice Agriculture: A Jigsaw Approach
    Students explore four different issues related to trophic interactions that affect modern rice agriculture practices and consider relationships between these issues using Lotka and Volterra...
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    Simulating selection on migration
    Students learn about math modeling and animal migration through playing a game and exploring simulations. The full module is intended for college students, but the game is appropriate for students...
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    STEM Inclusive Teaching Practices Webinar Series: Socially Relevant Teaching in the Time of COVID-19
    Presents various mathematical modeling and data science activities created around analyzing and interpreting COVID-19 data. Much of the instructional guidance provided for the activities and...
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    Modeling Two Species Interactions Educational Module
    This set of files comprises an educational module for use in college-level ecology courses. It focuses on exploring two species interactions (mutualism, competition, and predator-prey dynamics)...
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    3D breast cancer tissue reconstruction
    This module allows students to follow a researcher as she discovers new features of breast cancer tissue architecture, using 3D reconstructions of histological specimens.
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    Navigating Bacterial Changes in Aging Organisms: Graphs, Patterns, and Models
    Aging is an incredibly important area of research, and recent biological advances implicate the intestines in aging pathologies. Given that the gut harbors an immense amount of an organism’s...
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    Spreadsheet Tutorial 1 -- Formulae, Functions, and Averages | HHMI BioInteractive
    This introduction to spreadsheet programs describes the basic organization of a worksheet, how to organize and format your data, how to perform simple mathematical calculations, how to use built-in...
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    Materials for Teaching the SIR Epidemic Model
    This web page contains materials created by faculty of the University of Nebraska-Lincoln Department of Mathematics to teach basic fundamentals of mathematical epidemiology.
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    Hidden Markov Model
    Hidden Markov models are a set of mathematical tools that can be used to draw inferences about genomic and evolutionary processes.
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    Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data
    In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear...
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    List of models in which observed patterns are Important
    Supplemental material for ABM
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