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Survivorship in the Natural World
09 Jul 2015 | Teaching & Reference Material | Contributor(s): Anne M. Bronikowski, Jeanne Altmann, Diane K. Brockman, Marina Cords, Linda M. Fedigan, Anne Pusey, Tara Stoinski, William F. Morris, Karen B. Strier, Susan C. Alberts, Samantha Swauger
This resource has been updated - find the current version here: https://qubeshub.org/publications/273Data used in this activity are derived from: Bronikowski A.M., Altmann J., Brockman D.K., Cords, M., Fedigan, L.M., Pusey, A., Stoinski, T., Morris, W.F., Strier, K.B., Alberts, S.C. (2011)...
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Teaching Exponential and Logistic Growth in a Variety of Classroom and Laboratory Settings
03 Aug 2015 | Teaching & Reference Material | Contributor(s): Barry Aronhime, Bret D. Elderd, Carol Wicks, Margaret McMichael, Elizabeth Eich
This resource has been updated - find the current version here: https://qubeshub.org/publications/268Ecology and conservation biology contain numerous examples of populations growing without bounds or shrinking towards extinction. For these populations, the change in the number of...
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The Evolution (and Coevolution) of Flowering Plants
02 Dec 2016 | Teaching & Reference Material | Contributor(s): Anna Monfils, Debra Linton, Libby Ellwood, Molly Phillips
This resource has been updated - find the current version here: https://qubeshub.org/publications/277In this laboratory exercise, students will explore the diversity of flower and fruit adaptations that have evolved to accomplish pollination and seed dispersal and investigate the...
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The Evolution of Color Vision in Monkeys: From Nucleotides to Ecology
16 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/843This case study examines the evolution color vision in Old World and New World monkeys from multiple biological perspectives. This integrative approach employs both...
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The friendship paradox
10 May 2015 | Teaching & Reference Material | Contributor(s): Winfried Just, Hannah Lea Callender, Drew LaMar
In this module we introduce the so-called friendship paradox and illustrate how it affects disease transmission on networks that exhibit this phenomenon.You also need to download the input file degreesFP.txt that will be used in this module.Level: Advanced undergraduate and graduate...
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The preferential attachment model
10 May 2015 | Teaching & Reference Material | Contributor(s): Winfried Just, Hannah Lea Callender, Drew LaMar, Ying Xin
Many empirically studied networks have approximately so-called power-law or scale-free degree distributions. In Section 1 we formally define such distributions and explore some of their properties. We also introduce and briefly compare two methods for constructing random...
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The replacement number
10 May 2015 | Teaching & Reference Material | Contributor(s): Winfried Just, Hannah Lea Callender, Drew LaMar, Ying Xin
In this module we introduce the important notion of the replacement number, which generalizes the basic reproductive number R0. We investigate how this number behaves near the start of an outbreak in models based on the uniform mixing assumption and in models that assume a contact network that is...
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The Tree of Life
19 Jun 2015 | Teaching & Reference Material | Contributor(s): Arietta Fleming-Davies, Julie Morris, Sarah Orlofske, Ellen Wisner
Transforming the "parade of phyla" into an integrated curriculum emphasizing evolutionary concepts, tree-thinking, and quantitative reasoning skills Our goal is to create an integrated curriculum that emphasizes evolutionary concepts, tree-thinking,...
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Tools: New tools for new science
06 Feb 2015 | Teaching & Reference Material
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/891A collection of computational, modeling and data analysis tools developed at Microsoft Research Labs.
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Training In-Service Teachers to Think Deeply About Modeling in the Common Core Movement
11 Oct 2016 | Teaching & Reference Material | Contributor(s): Talitha Washington
This resource has been updated - find the current version here: https://qubeshub.org/publications/242Over the years, I have conducted in-service teacher training sessions and workshops organized by the Capstone Institute at Howard University. My role has been to enhance teacher content...
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Understanding the Quantitative and Computational Skills of Incoming Biology Students
27 Oct 2015 | Teaching & Reference Material | Contributor(s): Charles Umbanhowar Jr, Jason M Belitsky, P. Brodfuehrer, Gregory Davis, T. Haque, L. Lee, C. McFadden, Paul Overvoorde, M. Preest, Liz Stanhope, M. Vinces, Andrew Zieffler, Laura Ziegler
This resource has been updated - find the current version here: https://qubeshub.org/publications/244Insufficient mathematical preparation has been linked to the failure of incoming students to persist in STEM-related majors. In addition, recent advances in computation allow biologists...
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Using Online Materials/Videos to Enrich Linear Algebra for Scientists
21 Oct 2015 | Teaching & Reference Material | Contributor(s): Sarah Hews
This resource has been updated - find the current version here: https://qubeshub.org/publications/250Linear algebra is an important course for biology majors but it is usually designed for math majors (emphasizing proofs) or engineers (focusing more on matrix algebra and algorithms)....
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Wellesley College Study Packet for the Quantitative Reasoning Assessment
27 Mar 2015 | Teaching & Reference Material
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/782This packet contains a set of 24 practice questions and 2 full-length practice assessments for the Quantitative Reasoning Assessment for Wellesley College.
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Yeast Cell Growth
19 Nov 2015 | Teaching & Reference Material | Contributor(s): Claudia Neuhauser
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/755Excel Workbook on lab data for yeast growth experiments provides a series of stepwise tasks for data analysis.