QUBES - Resources: All

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/913The Easiest Way to Learn Data Science OnlineMaster data analysis from the comfort of your browser, at your own pace, tailored to your needs and expertise. Whether...

Training In-Service Teachers to Think Deeply About Modeling in the Common Core Movement

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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...

A Framework for Modeling to Encourage Interdisciplinary Conversations

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11 Oct 2016 | Teaching & Reference Material | Contributor(s): Carrie Diaz Eaton

This resource has been updated - find the current version here: https://qubeshub.org/publications/209Here we present a framework for thinking about what models and modeling are, particularly to other disciplines. We encourage that differing disciplinary approaches are seen as part of a...

A Framework for Teaching Modeling to Biologists

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10 Oct 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

This resource has been updated - find the current version here: https://qubeshub.org/publications/210What are the modeling skills and metacognitive strategies of importance for the life sciences? In this talk, we describe a teaching and learning framework around modeling...

Modeling: A Primer - The crafty art of making, exploring, extending, transforming, tweaking, bending, disassembling, questioning, and breaking models

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26 Feb 2016 | Teaching & Reference Material | Contributor(s): William Wimsatt, Jeff Schank

This resource has been updated - find the current version here: https://qubeshub.org/publications/346Explore how to use, analyze, and criticize some important and historically influential models in biology in this text only module.

50 years of Data Science

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23 Feb 2016 | Teaching & Reference Material | Contributor(s): David Donoho

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/912More than 50 years ago, John Tukey called for a reformation of academic statistics. In ‘The Future of Data Analysis’, he pointed to the existence of an as-yet...

Modernizing Statistics Education via Biology Applications

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21 Oct 2015 | Teaching & Reference Material | Contributor(s): Olcay Akman

This resource has been updated - find the current version here: https://qubeshub.org/publications/254In most traditional statistics courses, instructors use data from different fields in an effort to give the courses an interdisciplinary flavor. They generally fail because these attempts...

Sting, Carry and Stock: How Corpse Availability Can Regulate De-Centralized Task Allocation in a Ponerine Ant Colony

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20 Oct 2015 | Teaching & Reference Material | Contributor(s): Istvan Karsai, Thomas Schmickl

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/844We develop a model to produce plausible patterns of task partitioning in the ponerine ant Ectatomma ruidum based on the availability of living prey and prey corpses. The...

SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations

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20 Oct 2015 | Teaching & Reference Material | Contributor(s): Brian Winkel

SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations is about teaching differential equations using modeling and technology upfront and throughout the learning process. You can learn more at our dynamic website, www.simiode.org, where we...

HHMI Teacher Guide: Math and Statistics

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23 Sep 2015 | Teaching & Reference Material | Contributor(s): Paul Strode, Ann Brokaw

This resource has been updated - find the current version here: https://qubeshub.org/publications/342Topics include measures of average (mean, median, and mode), variability (range and standard deviation), uncertainty (standard error and 95% confidence interval), Chi-square analysis, student...

R Commander

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04 Sep 2015 | Software (On-site) | Contributor(s): Drew LaMar

R provides a powerful and comprehensive system for analysing data and when used in conjunction with the R-commander (a graphical user interface, commonly known as Rcmdr) it also provides one that is easy and intuitive to use.

E. coli Citrate Use

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11 Aug 2015 | Teaching & Reference Material

This resource has been updated - find the current version here: https://qubeshub.org/publications/357Bacteria are excellent model organisms for studying evolution. They are easy to grow, maintain, and handle under very controlled conditions. Even more importantly for evolution...

Monkey Opsins

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11 Aug 2015 | Teaching & Reference Material

This resource has been updated - find the current version here: https://qubeshub.org/publications/356Humans have trichromatic vision. Our eyes detect colors in the visible range of the spectrum using three different cone cell types, each maximally stimulated by a different wavelength of...

QUBES: a community focused on supporting teaching and learning in quantitative biology

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30 Jul 2015 | Teaching & Reference Material | Contributor(s): Sam S Donovan, Carrie Diaz Eaton, Tom Gower, Kristin Jenkins, Drew LaMar, DorothyBelle Poli, Bob Sheehy, Jeremy M Wojdak

This resource has been updated - find the current version here: https://qubeshub.org/publications/226This letter provides an overview of the Quantitative Undergraduate Biology Education and Synthesis (QUBES) Project funded through the National Science Foundation. The project has five...

Dairy Farm Mathematics

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09 Jul 2015 | Teaching & Reference Material | Contributor(s): Richard Francisco, Katie Gilbert

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/783From the website:We based our instructional unit on the premise that many people have, that one does not need mathematics if the they do not plan on attending...

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