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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...
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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...
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    Module M.1 R basics for data exploration and management
    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...
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    Module M.3 Visualizing data with ggplot2
    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...
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    Module M.2 Descriptive statistics
    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...
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    SIR BuildIt
    An introduction to epidemiological models using interactive Excel worksheets
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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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    Introduction to R Course
    Free Introduction to R Course at DataCamp
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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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    Introduction to Python for Data Science Course
    Free Introduction to Python for Data Science Course at DataCamp
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    Hemoglobin bioinformatics
    This is an introduction to bioinformatics using hemoglobin as an example. The worksheets introduce students to resources to explore the DNA, RNA and polypeptide linear structure with a brief...
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    Trout modeling example
    This is an open-ended modeling example using difference equations and Algebra II skills.

    Keywords: population biology

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    Pre-lesson: Introduction to BLAST
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. This pre-lesson introduces the BLAST tool.
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    Pre-lesson: Introduction to BLAST
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. This pre-lesson introduces the BLAST tool.
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    Pre-lesson: Introduction to BLAST
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. This pre-lesson introduces the BLAST tool.
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    Intro to BIOMAAP - Student Introduction
    This presentation is intended as a short, in-class introduction to the program and some of the research behind it, in hopes of generating ‘buy in’ for a course-long use of BIOMAAP materials.
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    Impact of Introduction of American Bullfrogs on Species Diversity
    This module explores the introduction of the American bullfrog on their ecosystem. Using species diversity calculations and data collection techniques, students explore how the bullfrog affected...
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    Wolf Sheep Predation Simulation Exercise
    This resource is an exercise to introduce students to agent-based modeling of biological systems through working with a simple existing model.
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    Unit Conversions
    An introduction to the basics of unit conversions.
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