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IPMpack: an R package for Integral Projection Models
19 Jan 2015 | Software (Off-site) | Contributor(s): C. Jessica E. Metcalf, Sean M. McMahon, Roberto Salguero-Gómez, Eelke Jongejans, Cory Merow
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/779IPMpack is an R package (R Development Core Team 2013) that allows users to build and analyse Integral Projection Models. An IPM is a demographic tool to explore the...
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IQS 2.0: A Modularized Integrated Math and Science Course
21 Oct 2015 | Teaching & Reference Material | Contributor(s): Lester Caudill
This resource has been updated - find the current version here: https://qubeshub.org/publications/252For the past several years, the University of Richmond has offered an Integrated Quantitative Science (IQS) course, integrating introductory courses in five math and science disciplines, to...
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IQS 2.0: A Modularized Integrated Math and Science Course
21 Oct 2015 | Teaching & Reference Material | Contributor(s): Lester Caudill
This resource has been updated - find the current version here: https://qubeshub.org/publications/252For the past several years, the University of Richmond has offered an Integrated Quantitative Science (IQS) course, integrating introductory courses in five math and science disciplines, to...
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Java Applets for Power and Sample Size
10 Mar 2015 | Software (Off-site) | Contributor(s): Russell Lenth
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/899From the website:This software is intended to be useful in planning statistical studies. It is not intended to be used for analysis of data that have already been...
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Joel E. Greengiant Learns About Peas: From Nucleotides to Selection
17 Jun 2015 | Teaching & Reference Material | Contributor(s): Merle Heidemann, Peter J.T. White, Jim Smith
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/845This case study follows purveyors of peas, Joel E. and Jolene Greengiant, as they learn about the origin, biochemistry, genetics and eventual artificial selection of sweet...
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Linear models and linear mixed effects models in R: Tutorial 1
24 Apr 2015 | Teaching & Reference Material | Contributor(s): Bodo Winter
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/832Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce...
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Linear models and linear mixed effects models in R: Tutorial 1
24 Apr 2015 | Teaching & Reference Material | Contributor(s): Bodo Winter
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/832Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce...
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Linear models and linear mixed effects models in R: Tutorial 1
24 Apr 2015 | Teaching & Reference Material | Contributor(s): Bodo Winter
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/832Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce...
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Linked Genes and Recombination: Advanced Punnett Squares
12 Jan 2015 | Teaching & Reference Material | Contributor(s): Dr. Kaci Thompson, Dr. Karen Nelson
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/743An online module in which students learn about more difficult genetics problems, including linked genes and crossing over. Quantitatively students learn about marginal...
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List of models in which observed patterns are Important
02 Aug 2015 | Teaching & Reference Material | Contributor(s): Steven F Railsback, Volker Grimm
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/876Supplemental material for Chapter 18 of Agent-Based and Individual-Based Modeling: A practical introduction by Railsback and Grimm (2012). This is a list of...
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Lotka-Volterra, the logistic equation, and Isle Royale
30 Jan 2015 | Teaching & Reference Material | Contributor(s): Stephen Malcolm
Students work through the basic Lotka-Volterra predator prey model using an example in which the prey exhibit density independence. Students then incorporate density dependence of prey items using several different features of Populus.
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Luria-Delbruck
14 Sep 2015 | Teaching & Reference Material | Contributor(s): Tony Weisstein, John R Jungck, Doug Green
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/777These two workbooks model the evolution of phage resistance in a bacterial population under two alternative hypotheses. Under the hypothesis of acquired immunity, mutation...
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Manual for Using BIRDD
19 Nov 2015 | Teaching & Reference Material | Contributor(s): Sam S Donovan, Frank Price
This resource has been updated - find the current version here: https://qubeshub.org/publications/214This document contains all of the database notes and How-To files from within BIRDD. These can be printed to provide a "manual" for students to refer to. Instructors can distribute...
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Manual for Using BIRDD
19 Nov 2015 | Teaching & Reference Material | Contributor(s): Sam S Donovan, Frank Price
This resource has been updated - find the current version here: https://qubeshub.org/publications/214This document contains all of the database notes and How-To files from within BIRDD. These can be printed to provide a "manual" for students to refer to. Instructors can distribute...
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Map Your Hazards
20 Aug 2015 | Teaching & Reference Material | Contributor(s): Brittany Brand, Melissa Schlegel, Pamela McMullin-Messier
This resource has been updated - find the current version here: http://qubeshub.org/publications/292This interdisciplinary module allows students to understand societal impacts that result from natural hazards and gain insight into how our knowledge and perspectives of the world shape how we...
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Marriage age model ODD
02 Aug 2015 | Teaching & Reference Material | Contributor(s): Steven F Railsback, Volker Grimm
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/869This is a supplemental resource from Agent-based and Individual-based Modeling: a practical introduction By Railsback and Grimm (2012). This is an...
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Math Bench Probability and Statistics: Basic Rules of Probability
07 Jan 2015 | Teaching & Reference Material | Contributor(s): Dr. Kaci Thompson, Dr. Kären Nelson
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/741This is an online activity that explains basic concepts of probability. Some concepts introduced include when to add or multiply probabilities, and independent and...
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Math Bench Probability and Statistics: Mice with Fangs - Intro to Punnett Squares
14 Jan 2015 | Teaching & Reference Material | Contributor(s): Dr. Kaci Thompson, Dr. Kären Nelson
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/744This is an online activity that provides an introduction to Punnett squares as a tool for visualizing genetic inheritance. The ratios of possible genotypes and phenotypes...
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MathBench Biology Modules
13 Mar 2015 | Teaching & Reference Material | Contributor(s): Katerina V. Thompson, Kären C. Nelson, Gili Marbach-Ad, Michael Keller, William F. Fagan, Patricia A. Shields
Modules designed to help students understand the math behind the material learned in introductory ecology courses.
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MathBench Biology Modules
13 Mar 2015 | Teaching & Reference Material | Contributor(s): Katerina V. Thompson, Kären C. Nelson, Gili Marbach-Ad, Michael Keller, William F. Fagan, Patricia A. Shields
Modules designed to help students understand the math behind the material learned in introductory ecology courses.