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Tags: Teaching material

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Teaching material

All Categories (821-840 of 934)

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

    26 Feb 2016 | | 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.

  2. DataONE Module 01: Why Data Management?

    03 Jan 2016 |

    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...

  3. DataONE Module 03: Data Management Planning

    03 Jan 2016 |

    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...

  4. DataONE Module 02: Data Sharing

    02 Jan 2016 |

    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...

  5. AIMS: Dendroclimatology

    21 Dec 2015 | | Contributor(s):: Stockton Maxwell, Jeremy M Wojdak

    This resource has been updated - find the current version here: https://qubeshub.org/publications/544/The AIMS (Analyzing Images to learn Mathematics and Statistics) project was founded on the idea that students don't often care much about analysis until they care about...

  6. Q4B: Questions For Biology

    08 Dec 2015 | | Contributor(s):: Gulnur Birol, Greg Bole, Sunita Chowrira, Bridgette Clarkston, Thomas Deane, Malin Hansen, Erica Jeffery, Pam Kalas, Kathy Nomme, Rosemary Oh-McGinnis, Angie O’Neill, Carol Pollock, Joan Sharp, Karen Smith, Michelle Tseng

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/908The Questions For Biology (Q4B) team aims to create validated concept inventories for use in diagnosing student misconceptions, informing teaching practices and tracking...

  7. Disease Spread

    22 Nov 2015 | | Contributor(s):: Brian Winkel

    An activity in which students model the spread of disease using one differential equation. 

  8. Yeast Cell Growth

    19 Nov 2015 | | 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.

  9. Confidence Intervals Tutorial

    19 Nov 2015 | | Contributor(s):: Claudia Neuhauser, David Phillip Schladt

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/754This Excel mini-tutorial introduces the calculation and application of confidence intervals.

  10. Course materials for computational genomics using R

    19 Nov 2015 | | 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 

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

    27 Oct 2015 | | 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...

  12. Integrating student research projects into mathematical biology courses

    21 Oct 2015 | | Contributor(s):: Elissa Schwartz

    This resource has been updated - find the current version here: https://qubeshub.org/publications/256Interdisciplinary mathematical biology courses have particular challenges. Specific teaching methods are necessary in order to engage students with varying levels of competency in mathematics...

  13. Mentoring Undergraduate Research Projects in Mathematical Biology

    21 Oct 2015 | | Contributor(s):: Timothy Comar

    This resource has been updated - find the current version here: https://qubeshub.org/publications/255For several years, we have been mentoring undergraduate research projects in the areas of the dynamics of impulsive differential equation models for pest management and epidemiology and the...

  14. Modernizing Statistics Education via Biology Applications

    21 Oct 2015 | | 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...

  15. IQS 2.0: A Modularized Integrated Math and Science Course

    21 Oct 2015 | | Contributor(s):: Lester Caudill

    This resource has been updated - find the current version here: https://qubeshub.org/publications/252For the past several years, the University of Richmond has offered an Integrated Quantitative Science (IQS) course, integrating introductory courses in five math and science disciplines, to...

  16. Using Online Materials/Videos to Enrich Linear Algebra for Scientists

    21 Oct 2015 | | 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)....

  17. Modelling and simulation: helping students acquire this skill using a Stock and Flow approach with MathBench

    20 Oct 2015 | | Contributor(s):: Istvan Karsai, Katerina V. Thompson, Kären C. Nelson

    Computational and modelling skills are vital to most fields of biological research, yet traditional biology majors have no or little opportunity to develop these skills during their undergraduate education. We describe an approach, which can address this issue by a synergy of...

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

    20 Oct 2015 | | 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...

  19. PLANT Talking Points: Crime Scene Botanicals - Forensic Botany...

    10 Oct 2015 |

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/817Provides information on the interesting job of Forensic Botany using real life examples

  20. PLANT Talking Points: Popcorn, endosperm and the foods we eat...

    05 Oct 2015 |

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/818This resource connects botany to everyday life by way of explaining what common foods we eat really are.