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Optimal Foraging in Swirl
15 Jul 2019 | Teaching Materials | Contributor(s):
By Mary Elizabeth McWhirt1, Emily Weigel1
Georgia Institute of Technology
This lesson centers around the marginal value theorem (MVT, Charnov 1976), which describes how animals should forage in patches. It serves as a pre-lab to teach MVT basics, vectors, ANOVA, and...
Striped Bass: A Regulatory Success Story
12 Jul 2019 | Teaching Materials | Contributor(s):
By J. Alexander McCrickard1, Angela Hanretty1, Amanda Thompson1
Virginia Commonwealth University
This module examines the Maryland striped bass moratorium (1985-1989) as a fisheries management success story. Maryland DNR striped bass young of the year data is utilized for least squares linear...
Quantifying The Drivers and Impacts of Natural Disturbance Events – The 2013 Colorado Floods
By Heather Susanne Zimbler-DeLorenzo
This lesson focuses on ways that scientists identify and use data to understand ecological disturbance events using data from five public datasets. The main lesson focused on interpretation of...
A “Rule-of-Five” Framework for Models and Modeling
11 Jul 2019 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton1, Hannah Callender Highlander2, Kam Dahlquist3, Glenn Ledder4, Drew LaMar5, Richard Schugart6
1. Bates College 2. University of Portland 3. Loyola Marymount University 4. University of Nebraska Lincoln 5. College of William and Mary 6. Western Kentucky University
In this paper, we extend the “Rule-of-Four,” initially used in calculus reform efforts, to a “Rule-of-Five” framework for models and modeling that is inclusive of varying disciplinary definitions...
Earth Analytics in R - A Earth Data Science Course at University of Colorado, Boulder
out of 5 stars
24 Jan 2018 | | Contributor(s):: Leah Wasser
Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of heterogeneous ‘big scientific data.’Throughout the course you will use computationally...
Avida-ED Lab Book Summer 2017
27 Jul 2017 | | Contributor(s):: Wendy Johnson, Cory Kohn, Amy Lark, Louise Mead, Robert T Pennock, Jim Smith, Michael James Wiser
The Summer 2017 version of the Avida-ED Lab Manual includes the addition of an exercise that covers genetic drift (Exercise 4: Exploring Population Change Without Selection)