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  1. Free Introduction to R Course at DataCamp

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    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/914In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this...

  2. DataCamp

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    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/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...

  3. DataCamp

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    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/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...

  4. 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...

  5. A BioGraphy of Life: How Graph Theory Makes Mathematics Recognizable, Relevant, and Research-Rich in Biology Education

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    11 Oct 2016 | Teaching & Reference Material | Contributor(s): John R Jungck

    This resource has been updated - find the current version here: https://qubeshub.org/publications/241Biologists use graphs extensively in ecology, evolution, genetics, developmental biology, and biochemistry: phylogenetic trees, food webs, pedigrees, genetic networks, metabolic pathways,...

  6. 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...

  7. 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...

  8. BIOQuest Summer Workshop 2016 – Bissell talk notes

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    23 Jun 2016 | Teaching & Reference Material | Contributor(s): Ahrash Bissell

    This resource has been updated - find the current version here: https://qubeshub.org/publications/325Session title:Distributed creation, community guidance, and OER development: current models and emerging practicesSession description:Open educational resources (OER) encompass teaching,...

  9. Bald Eagle Module Introductory Powerpoint and Lab Report Rubric

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    20 May 2016 | Teaching & Reference Material | Contributor(s): Dustin Wilgers

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/836This is the powerpoint I used to introduce the bald eagle activity. It is fairly barebones as most of my powerpoints are. I also felt it necessary to modify the lab report...

  10. 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...

  11. 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...

  12. DataONE Module 01: Why Data Management?

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    03 Jan 2016 | Teaching & Reference Material

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/911Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle.Slides (PPTX)One page...

  13. DataONE Module 03: Data Management Planning

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    03 Jan 2016 | Teaching & Reference Material

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/910Benefits of a data management plan (DMP), DMP components, tools for creating a DMP, NSF DMP information, and a sample DMP.Slides (PPTX)One page handout...

  14. DataONE Module 02: Data Sharing

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    02 Jan 2016 | Teaching & Reference Material

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/909Data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data.Slides...

  15. Course materials for computational genomics using R

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    19 Nov 2015 | Teaching & Reference Material | Contributor(s): Hong Qin

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/907The R code and data are deposited at Github: https://github.com/hongqin/RCompBio 

  16. An Introduction to ESTEEM

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    04 Nov 2015 | Teaching & Reference Material | Contributor(s): Biological Esteem

    This presentation introduces the philosophy, structure, and scope of the ESTEEM project, including terms for use. Three pedagogical approaches to integrating math and biology in the classroom, differing in how closely students interact with the underlying mathematical model, are illustrated with...

  17. Understanding the Quantitative and Computational Skills of Incoming Biology Students

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    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...

  18. QUBES News, Highlights, and the Grand Opening of QUBESHub.org

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    27 Oct 2015 | Teaching & Reference Material | Contributor(s): Drew LaMar, Carrie Diaz Eaton, Alison N Hale, DorothyBelle Poli, Bob Sheehy

    This resource has been updated - find the current version here: https://qubeshub.org/publications/216The mission of the Quantitative Undergraduate Biology Education and Synthesis (QUBES) project is to improve learning opportunities for all students enrolled in undergraduate biology courses...

  19. 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...

  20. Modernizing Statistics Education via Biology Applications

    0.0 out of 5 stars 

    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...

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