Agent-Based Modeling Course Materials

Materials created for an upper level ABM course. Prerequisite: Students have taken either (a) another modeling course, or (b) the introductory computer science sequence.

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Mapping Coral Bleaching Modified with NOAA and Authentic Bleaching data

Students access NOAA data to conduct an analysis to look at differences between locations in heat stress and ultimately the amount of coral bleaching in 2005

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Testing hypotheses about the role of wildfire in structuring avian communities

This module assesses the role of wildfire in the eastern US and its impact on bird communities using NEON bird survey data from pre- and post- a major wildfire in the Great Smoky Mountains National Park (GRSM) in November 2016.

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Working with plant phenology data and fitting a nonlinear model using least squares in R

A participatory live-coding lesson on working with NEON phenology data and fitting a sine-wave model to determine when different species get and lose their leaves.

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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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Climate Change and Phenology: Evaluating Temperature, Precipitation, and Phenology of Frogs and Toads in Minnesota

Students evaluate long term (100+ years) trends in temperature and precipitation, and then isolate a shorter time span (20 years) in which to evaluate the correlation between spring temps and the earliest reported calling dates for MN frogs and toads

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Calling Bull in an Age of Big Data with R

Use the calling bull course to introduce students to data, ethics, visualization, and R.

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The Lecture-Free Classroom: Teaching students backward design and Bloom's Taxonomy to create their own learning environment

We describe Presentation Enhanced Learning (PEL), a flexible, lecture-free, field-tested teaching format to promote problem-based, active learning in upper-division or graduate biological sciences courses.  PEL may be implemented as a single, capstone event or as the organizing principle for an entire course.  In a PEL module, the lectures are replaced by student-led presentations created by their own backward design process and mapped to Bloom’s taxonomy.  Each presentation includes explicit assessment activities aligned with student learning outcomes (SLOs).  The instructor acts as a facilitator and guide inside and outside of class. Feedback concerning accuracy and the level of content coverage for each subject is provided by instructor via small groups meetings (before and after students deliver their in-class presentations).  This interactive time replaces instructor time devoted to traditional lecture preparation.  In our experience, these meetings initially last approximately three hours per week for courses that contain up to six groups of two to five students, with one group presenting per week.  The length of the meetings drops by approximately half, and the quality of the discussions and feedback improves, once students become familiar with the presentations style.  Assessment of student learning outcomes occurs through take-home exams, in-class assignments and assessment activities, individual and group presentation scores, and peer evaluation.  Specific grading rubrics, available to students in advance, guide all assessment scoring.  We have converted two entire lecture courses to a PEL format, resulting in increased critical thinking skills as determined by student answers to exam questions mapped to Bloom’s taxonomy.

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Mosquito Vector Ecology of the East Coast using NEON

This data module examines the relationship between mosquito vector ecology and climate across the east coast of the United States. The module is designed to merge core concepts in ecology with budding interests of the largely pre-heath student body.

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1-038-Ebola-ModelingScenario

Students will use data published by the World Health Organization to model the 2014 outbreak of the Ebola virus in West Africa. We begin with a simple exponential growth model and move through the modeling process to the logistic growth model.

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An introduction to population matrix models: a swirl lesson

Students will learn how to set up a population matrix model in R and use it for demographic analysis of a population, including projecting population growth, determining lambda and the stable age distribution, and conducting an elasticity analysis.

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Data Management using National Ecological Observatory Network's (NEON) Small Mammal Data with Accompanying Lesson on Mark Recapture Analysis

Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by estimating small mammal population sizes using the Lincoln-Peterson model.

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