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  1. Ecology and Epidemiology in R

    09 May 2015 | Teaching & Reference Material

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/837

  2. Effects of Laptop Use on Student Learning

    20 Jun 2015 | Teaching & Reference Material | Contributor(s): Tony Weisstein

    This resource has been updated - find the current version here: https://qubeshub.org/publications/312Verbal and graphical/quantitative data from two studies of how laptop use affects student learning. I show and discuss these slides at the start of each semester to explain my no-laptop...

  3. Environmental Justice and Fresh Water

    24 Aug 2015 | Teaching & Reference Material | Contributor(s): Adriana Perez, Jill Schneiderman, Meg Stewart, Joshua Villalobos

    This resource has been updated - find the current version here: https://qubeshub.org/publications/276This module enables students to identify the freshwater components of the hydrologic cycle and connect them to the basic need of all human beings for equal access to clean freshwater. 

  4. Essay to students about the fallacy of fixed math ability

    20 Jan 2015 | Teaching & Reference Material | Contributor(s): Jeremy M Wojdak

    This resource has been updated - find the current version here: https://qubeshub.org/publications/238This is a short essay I wrote in 2014 to share with my students, after hearing the inevitable "I'm not good at math." as a reaction to some quantitative topics in class.  I...

  5. EvolSeq

    14 Sep 2015 | Teaching & Reference Material | Contributor(s): Tony Weisstein, John R Jungck

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/776This worksheet simulates the molecular evolution of DNA sequences. The program begins with a single (random) sequence, then follows that sequence through time as it...

  6. Exploring contact patterns between two subpopulations

    10 May 2015 | Teaching & Reference Material | Contributor(s): Winfried Just, Hannah Lea Callender, Drew LaMar

    In this module we introduce a construction of generic random graphs for a given degree sequence or degree distribution and explore whether mixing between hosts who belong to different subpopulations is assortative or disassortative.Level: Undergraduate students of biology or...

  7. Exploring Disease Transmission on Networks with NetLogo

    10 May 2015 | Teaching & Reference Material | Contributor(s): Winfried Just, Ying Xin

  8. Exploring distances with IONTW

    10 May 2015 | Teaching & Reference Material | Contributor(s): Winfried Just, Hannah Lea Callender, Drew LaMar

    Section 1 is purely conceptual and invites readers to critically evaluate popular claims based on Stanley Milgram's famous experiment that gave birth to the phrases small-world property and six degrees of separation. In Section 2 we use IONTW to explore distances between nodes in several...

  9. Exploring Erdős-Rényi random graphs with IONTW

    10 May 2015 | Teaching & Reference Material | Contributor(s): Winfried Just, Hannah Lea Callender, Drew LaMar

    In this module we explore in detail the distribution of the sizes of connected components of Erdős-Rényi random graphs and discover the reasons for the similarities and differences between disease transmission on Erdős-Rényi networks and complete graphs that were observed in...

  10. Exploring generic scale-free networks

    02 Jun 2015 | Teaching & Reference Material | Contributor(s): Winfried Just, Hannah Lea Callender, Drew LaMar

    This module is a companion module to Module [[Resource(384)]]. Here we study in more detail networks that are generic for a given network size and a given exponent of a power-law degree distribution. We explore predicted structural properties of such networks both mathematically and with...

  11. Exploring random regular graphs with IONTW

    10 May 2015 | Teaching & Reference Material | Contributor(s): Winfried Just, Hannah Lea Callender, Drew LaMar

    In this module we introduce and explore the structure of random regular graphs. Moreover, we compare the predictions of SIR-models on random regular contact networks with the predictions of corresponding models on Erdős-Rényi networks.Level: Undergraduate students of biology or...

  12. Exploring the Lotka-Volterra Competition Model using Two Species of Parasitoid Wasps

    25 Mar 2015 | Teaching & Reference Material | Contributor(s): Christopher W. Beck, Judy A. Guinan, Lawrence S. Blumer, Robert W. Matthews

    This resource has been updated - find the current version here: https://qubeshub.org/publications/270Laboratory exercise in which students collect data on parasitoid wasps and fit Lotka-Volterra competition models.  The authors' abstract:"In this investigation,...

  13. Exploring the Population Dynamics of Wintering Bald Eagles Through Long-Term Data

    23 Sep 2015 | Teaching & Reference Material | Contributor(s): Julie Beckstead, Alexandra Lagasse, Scott Robinson

    This resource has been updated - find the current version here: https://qubeshub.org/publications/265The Ecological QuestionHow does a bald eagle population change over time at a winter migratory stopover and which factors influence its abundance?This activity has two different aspects to...

  14. Exponential Growth by Bozeman Science

    03 Oct 2015 | Teaching & Reference Material | Contributor(s): Paul Andersen

    Youtube video

  15. Facial Bones

    29 Sep 2017 | Teaching & Reference Material | Contributor(s): Katherine Poole

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/873There are 14 beautiful facial bones six of them are paired and two of them are unpaired, for a grand total of 14 facial bones. The facial bones...

  16. Faculty Mentoring Networks: A model for professional development in undergraduate quantitative biology education

    17 Nov 2016 | Teaching & Reference Material | Contributor(s): Alison N Hale, Arietta Fleming-Davies, Gabriela Hamerlinck, Melissa Aikens, Sam S Donovan, Kristin Jenkins, Jeremy M Wojdak

    This resource has been updated - find the current version here: https://qubeshub.org/publications/208There is a significant need to design and test alternative models for faculty development around undergraduate science teaching. Existing models for helping faculty adopt evidence-based...

  17. Faculty Mentoring Networks: A Model for Promoting Teaching Scholarship in Quantitative Biology Education

    06 Apr 2017 | Teaching & Reference Material | Contributor(s): Sam S Donovan, Alison N Hale, Arietta Fleming-Davies, Gabriela Hamerlinck, Jeremy M Wojdak, Kristin Jenkins

    This resource has been updated - find the current version here: https://qubeshub.org/publications/205/Faculty Mentoring Networks (FMNs) are designed to support the development of teaching scholarship by promoting teacher identity, self-efficacy, and knowledge/experience via four core design...

  18. Ferns are Everywhere

    24 Aug 2015 | Teaching & Reference Material | Contributor(s): Claudia Neuhauser

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/753Using spatial fern population data in hypothesis testing

  19. Founder Effects, Inbreeding, and Loss of Genetic Diversity in Four Avian Reintroduction Programs

    22 Mar 2015 | Teaching & Reference Material | Contributor(s): Ian Jamieson

    The number of individuals translocated and released as part of a reintroduction is often small, as is the final established population, because the reintroduction site is typically small. Small founder and small resulting populations can result in population bottlenecks, which are associated with...

  20. Free Introduction to Python for Data Science Course at DataCamp

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/915Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from...