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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 Evolutionary Data in Developing Phylogenetic Trees: A Scaffolded Approach with Authentic Data
01 Oct 2015 | Teaching & Reference Material | Contributor(s): Kd Davenport, Kirsten Jane Milks, Rebecca Van Tassell
Analyzing evolutionary relationships requires that students have a thorough understanding of evidence and of how scientists use evidence to develop these relationships. In this lesson sequence, students work in groups to process many different lines of evidence of evolutionary relationships...
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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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Workshop Statistics: Discovery with Data, A Bayesian Approach
25 Feb 2015 | Teaching & Reference Material | Contributor(s): Jim Albert, Allan Rossman
From the project website " Workshop Statistics: Discovery with Data, A Bayesian Approach, Key College Press; ISBN: 1930190123 (coauthored with Allan J. Rossman of Dickinson College) is a collection of classroom and homework activities designed to introduce the student to...
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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.