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Tags: Reference material

All Categories (1-20 of 121)

  1. 50 years of Data Science

    23 Feb 2016 | | 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...

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

    11 Oct 2016 | | 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,...

  3. A collaborative approach to quantitative biology course reform: It's better than doing it all by yourself

    19 Jul 2015 | | Contributor(s):: Jeremy M Wojdak

    This resource has been updated - find the current version here: https://qubeshub.org/publications/233This is the abstract of an oral presentation given at the Society for Mathematical Biology Annual Meeting in Atlanta, GA in 2015. "Faculty often experience two distinct problems as...

  4. A Framework for Modeling to Encourage Interdisciplinary Conversations

    11 Oct 2016 | | 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...

  5. A Framework for Teaching Modeling to Biologists

    10 Oct 2016 | | 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...

  6. A New Hub for QUBES based on the HUBzero Platform

    26 Jul 2015 | | Contributor(s):: Michael McLennan

    This resource has been updated - find the current version here: https://qubeshub.org/publications/248The Quantitative Undergraduate Biology Education and Synthesis (QUBES) Consortium has a mission to connect educators across biology and mathematics with each other and with the latest...

  7. A Quick Guide to Teaching R Programming to Computational Biology Students

    03 Jun 2015 | | Contributor(s):: Stephen Eglen

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/838An introduction from an experienced educator in teaching R to computational biology graduate students. Contains information that is relevant for the undergraduate classroom...

  8. A very basic tutorial for performing linear mixed effects analyses: Tutorial 2

    24 Apr 2015 | | Contributor(s):: Bodo Winter

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/833This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models. This text is different from other introductions by being decidedly...

  9. A “Rule-of-Five” Framework for Models and Modeling

    11 Jul 2019 | Teaching Materials | Contributor(s):

    By Carrie Diaz Eaton1, Hannah Callender Highlander2, Kam Dahlquist3, Glenn Ledder4, Drew LaMar5, Richard Schugart6

    1. Bates College 2. University of Portland 3. Loyola Marymount University 4. University of Nebraska Lincoln 5. College of William and Mary 6. Western Kentucky University

    In this paper, we extend the “Rule-of-Four,” initially used in calculus reform efforts, to a “Rule-of-Five” framework for models and modeling that is inclusive of varying disciplinary definitions...

    https://qubeshub.org/qubesresources/publications/1346/?v=1

  10. Advancing population ecology with integral projection models: a practical guide

    23 Jan 2015 | | Contributor(s):: Cory Merow, Johan Dahlgren, Jessica Metcalf, Dylan Childs, Margaret Evans, Eelke Jongejans, Sydne Record, Mark Rees, Roberto Salguero-Gómez, Sean McMahon

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/824Integral projection models (IPMs) use information on how an individual's state influences its vital rates – survival, growth and reproduction – to...

  11. Agent-based and Individual-based Modeling: A Practical Introduction

    03 Jun 2015 | | Contributor(s):: Steven F Railsback, Volker Grimm

    From the authors website:  "We designed this book to fill the need for an introductory text on agent-based modeling for scientists, for use both in university courses (graduate or upper level undergraduate) and by people teaching themselves. The book is not specific to any particular...

  12. AIM-UP! (Advancing Integration of Museums into Undergraduate Programs)

    13 Mar 2015 | | Contributor(s):: Joseph A. Cook, Scott Edwards, Stefanie Ickert-Bond, Eileen Lacy

    An NSF-funded Research Coordination Network, the goal of AIM-UP! is to bring museum archives and natural history collections to the forefront of biology education.  From the website:  "We are developing these themes through meetings, on-line discussions and workshops at scientific...

  13. An Introduction to ESTEEM

    04 Nov 2015 | | 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...

  14. An Introduction to Statistical Learning: with Applications in R

    10 Jul 2015 | | Contributor(s):: Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani

    This resource has been updated - find the current version here:https://qubeshub.org/qubesresources/publications/847From the book website:This book provides an introduction to statistical learning methods. It is aimed for upper level undergraduate students,...

  15. Assessment of Science Inquiry

    19 Jun 2015 | | Contributor(s):: Sabra Lee, George E. Hein

    This resource has been updated - find the current version here: https://qubeshub.org/publications/313Different types of classroom assessment can give teachers different kinds of evaluation information. This chapter surveys the assessment methods available to teachers, and talks about the...

  16. Avida-ED User Manual

    07 Jun 2015 | | Contributor(s):: Diane Blackwood

    Basic User manual to use Avida-ED

  17. AWS (Ammazon Web Services) & BATEC

    17 Jun 2015 |

    http://aws.amazon.com/grants/ http://batec.org/si2015/ http://batec.org/SI2015/location/ http://batec.org/travel-reimbursement-policy/

  18. BIO2010: Transforming Undergraduate Education for Future Research Biologists

    25 May 2015 | | Contributor(s):: Committee on Undergraduate Biology Education to Prepare Research Scientists for the 21st Century, Board on Life Sciences, Division on Earth and Life Studies, National Research Council

    Biological sciences have been revolutionized, not only in the way research is conducted -- with the introduction of techniques such as recombinant DNA and digital technology -- but also in how research findings are communicated among professionals and to the public. Yet, the undergraduate...

  19. Biomathematics education from the viewpoint of graduate biology

    21 Oct 2015 | | Contributor(s):: Alexis White

    This resource has been updated - find the current version here: https://qubeshub.org/publications/253Biology and mathematics in early education are often presented as two distinct entities. The strength of both disciplines becomes highlighted when combined to create the cryptic study of...

  20. Biometeorology of Asthma in South Florida: From Statistical Analysis to Mathematical Modeling

    21 Oct 2015 | | Contributor(s):: David Quesada

    This resource has been updated - find the current version here: https://qubeshub.org/publications/251Biometeorology has emerged as an interdisciplinary field dedicated to the study of the mutual influence between living things and the surrounding environment. Within this field, the study of...