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Teaching Materials (1-20 of 27)

  1. Mutation and Selection: An Exploration of Antibiotic Resistance in Serratia Marcescens

    25 Oct 2018 | Teaching Materials | Contributor(s):

    By Laurel Hester1, Mark Sarvary2, Corey Ptak

    1. Keuka College 2. Cornell University

    This laboratory module gives students hands-on experience with mutation and selection in bacteria.

    https://qubeshub.org/publications/875/?v=1

  2. Facial Bones

    25 Oct 2018 | Teaching Materials | Contributor(s):

    By Katherine Poole

    Information about the many different facial bones.

    https://qubeshub.org/publications/873/?v=1

  3. Measuring the Health of the Earth Using the Theory of Island Biography

    25 Oct 2018 | Teaching Materials | Contributor(s):

    By Jana Eggleston, Stephanie Renee Campau, Farshid Ahrestani, Holly D Gaff1

    Old Dominion University

    This module uses a variety of available datasets to explore methods of calculating biodiversity and measuring landscape as well as the relationship between those.

    https://qubeshub.org/publications/868/?v=1

  4. Carbon Footprint: A Study of Unit and Dimensions

    25 Oct 2018 | Teaching Materials | Contributor(s):

    By Amanda Bonilla1, Laura Foster, Rikki Wagstrom, Jean McGivney-Burelle

    Unity College

    In this module, we integrate the context of carbon emission and human consumption into an introductory lesson on units and estimation.

    https://qubeshub.org/publications/866/?v=1

  5. Modeling Crop Rotation with Discrete Mathematics

    25 Oct 2018 | Teaching Materials | Contributor(s):

    By Jennifer Lorraine Cartier1, Kellen Myers, Victoria Ferguson, Yekaterina Voskoboynik

    Unity College

    The module develops discrete mathematics models that allow for creation of crop rotation schedules meeting a variety of needs.

    https://qubeshub.org/publications/864/?v=1

  6. Draft Version: Energy Balance Models

    25 Oct 2018 | Teaching Materials | Contributor(s):

    By Daniel Flath, Hans G. Kaper, Frank Wattenberg, Esther Widiasih

    This module introduces the student to the process of mathematical modeling.

    https://qubeshub.org/publications/863/?v=1

  7. Quantitative Reasoning: Peer Review 16(3), 2014

    25 Oct 2018 | Teaching Materials | Contributor(s):

    By Shelly Johnson Carey

    In this issue of the journal Peer Review, the authors discuss the issues surrounding quantitative literacy.

    https://qubeshub.org/publications/862/?v=1

  8. Theory, models and biology

    25 Oct 2018 | Teaching Materials | Contributor(s):

    By Wenying Shou1, Carl T. Bergstrom2, Arup K. Chakraborty3, Frances K. Skinner4

    1. Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States 2. Department of Biology, University of Washington, Seattle, United States 3. Departments of Chemical Engineering, Physics, Chemistry and Biological Engineering, and the Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, United States 4. Toronto Western Research Institute, University Health Network and the University of Toronto, Toronto, Canada

    Theoretical ideas have a rich history in many areas of biology, and new theories and mathematical models have much to offer in the future.

    https://qubeshub.org/publications/861/?v=1

  9. Natural History Collections as Emerging Resources for Innovative Education

    23 Oct 2018 | Teaching Materials | Contributor(s):

    By Joseph A. Cook, Scott V. Edwards, Eileen A. Lacey, Robert P. Guralnick, Pamela S. Soltis, Douglas E. Soltis, Corey K. Welch, Kayce C. Bell, Kurt E. Galbreath, Christopher Himes, Julie M. Allen, Tracy A. Heath, Ana C. Carnaval, Kimberly L. Cooper, Mark Liu, James Hanken, Stefanie Ickert-Bond

    Natural history collections have the potential to help transform undergraduate science education from passive learning into an active exploration of the natural world.

    https://qubeshub.org/publications/854/?v=1

  10. Molecular Biology of the Cell (MBoC)

    23 Oct 2018 | Teaching Materials

    An online journal focusing upon generally-applicable studies of cell biology.

    https://qubeshub.org/publications/851/?v=1

  11. An Introduction to agent-based modeling.

    23 Oct 2018 | Teaching Materials | Contributor(s):

    By Marco A Janssen

    Arizona State University

    Introductory level textbook based on a collection of lecture notes from an undergraduate course on agent-based modeling at Arizona State University.

    https://qubeshub.org/publications/849/?v=1

  12. AMS Mathematical Moments

    23 Oct 2018 | Teaching Materials

    Discover the world of mathematics with Mathematical Moments, 8.5'' x 11'' pdfs, available in many different scientific topics.

    https://qubeshub.org/publications/848/?v=1

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

    23 Oct 2018 | Teaching Materials | Contributor(s):

    By Gareth James1, Daniela Witten2, Trevor Hastie3, Robert Tibshirani3

    1. University of Southern California 2. University of Washington 3. Stanford University

    This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.

    https://qubeshub.org/publications/847/?v=1

  14. Joel E. Greengiant Learns About Peas: From Nucleotides to Selection

    23 Oct 2018 | Teaching Materials | Contributor(s):

    By Merle Heidemann1, Peter J.T. White1, Jim Smith1

    Michigan State University

    This case study follows purveyors of peas, Joel E. and Jolene Greengiant, as they learn about the origin, biochemistry, genetics and eventual artificial selection of sweet (wrinkled) peas, all in...

    https://qubeshub.org/publications/845/?v=1

  15. The Evolution of Color Vision in Monkeys: From Nucleotides to Ecology

    23 Oct 2018 | Teaching Materials | Contributor(s):

    By Merle Heidemann1, Peter J.T. White1, Jim Smith1

    Michigan State University

    This case study examines the evolution color vision in Old World and New World monkeys from multiple biological perspectives.

    https://qubeshub.org/publications/843/?v=1

  16. A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2

    20 Oct 2018 | Teaching Materials | Contributor(s):

    By Bodo Winter

    University of California, Merced

    The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.

    https://qubeshub.org/publications/833/?v=1

  17. Linear Models and Linear Mixed Effects in R: Tutorial 1

    20 Oct 2018 | Teaching Materials | Contributor(s):

    By Bodo Winter

    University of California, Merced

    The first of two tutorials that introduce you to linear and linear mixed models.

    https://qubeshub.org/publications/832/?v=1

  18. Taking a Second Look: Investigating Biology with Visual Datasets

    20 Oct 2018 | Teaching Materials | Contributor(s):

    By Ethel Stanley

    Beloit College

    An article exploring the use of visual datasets as an educational aid for biology students.

    https://qubeshub.org/publications/831/?v=1

  19. Introductory Science and Mathematics Education for 21st-Century Biologists

    20 Oct 2018 | Teaching Materials | Contributor(s):

    By William Bialek1, David Botstein2

    1. Department of Physics, Princeton University, Princeton, NJ 08544, USA., Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA. 2. Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA., Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.

    A unified introductory science curriculum that fully incorporates mathematics and quantitative thinking aimed to incorporate biology into the traditional quantitative cultures that have come to...

    https://qubeshub.org/publications/830/?v=1

  20. Towards better modelling and decision support: Documenting model development, testing, and analysis using TRACE

    20 Oct 2018 | Teaching Materials | Contributor(s):

    By Jacqueline Augusiak1, Andreas Focks1, Béatrice M. Frank2, Faten Gabsi3, Alice S.A. Johnston4, Chun Liu4, Benjamin T. Martin5, Mattia Meli6, Viktoriia Radchuk2, Pernille Thorbek7, Steven F Railsback8, Volker Grimm9

    1. Wageningen University, Aquatic Ecology and Water Quality Management Group, Wageningen University and Research Centre, P.O. Box 47, 6700 AA Wageningen, The Netherlands 2. Université Catholique de Louvain, Earth and Life Institute, Croix du Sud 2, 1348 Louvain-la-Neuve, Belgium 3. RWTH Aachen University, Institute for Environmental Research, Worringerweg 1, 52074 Aachen, Germany 4. University of Reading, School of Biological Sciences, Philip Lyle Building, Room 405, Reading RG6 6AS, UK 5. University of California Santa Barbara, Department of Ecology, Evolution, and Marine Biology, Santa Barbara, CA 93106-9620, USA 6. Roskilde University, Department of Environmental, Social and Spatial Change, Universitetsvej 1, P.O. Box 260, 4000 Roskilde, Denmark 7. yngenta, Environmental Safety, Jealott's Hill International Research Centre, Bracknell, Berkshire RG42 6EY, UK 8. Lang Railsback & Associates 9. Unknown

    We introduce TRACE, a framework for documenting model testing and analysis. TRACE is based on the recently proposed framework of model "evaluation" , and is designed to make models fit for...

    https://qubeshub.org/publications/829/?v=1

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