Teaching Materials (1-20 of 47)

1. Settling the Debate: How does nutrient enrichment affect salt marsh resilience to sea level rise?

   17 Oct 2024 | Teaching Materials | Contributor(s):

   By Dylan Stephens, Madison Guyton

   This is a lesson aimed at Environmental Studies students from High School and up, we hope that students will be able to further their understanding of the ecological impact of humans, as well as...

   https://qubeshub.org/publications/4777/?v=1

2. Calling Bullshit DCS 105 Bates College RByte Worksheets

   29 May 2024 | Teaching Materials | Contributor(s):

   By Carrie Diaz Eaton¹, Sadie Kriegler

   Unity College

   These are handout worksheets for your in-class RByte activities.

   https://qubeshub.org/publications/4822/?v=1

3. Calling Bullshit DCS 105 Bates College Breakout Group Slides

   29 May 2024 | Teaching Materials | Contributor(s):

   By Carrie Diaz Eaton¹, Sadie Kriegler

   Unity College

   This is a slide deck containing all breakout group slides for the course DCS 105 - Calling Bullshit at Bates College.

   https://qubeshub.org/publications/4807/?v=1

4. Calling Bullshit Bates College DCS 105 RByte Slides

   29 May 2024 | Teaching Materials | Contributor(s):

   By Carrie Diaz Eaton¹, Sadie Kriegler

   Unity College

   This slide deck is a mix of in-class participation and coding activities which aims to formalize understanding of code.

   https://qubeshub.org/publications/4808/?v=1

5. Pennies to The Moon Data Byte Series

   09 May 2024 | Teaching Materials | Contributor(s):

   By Carrie Diaz Eaton¹, Sadie Kriegler

   Unity College

   This series of Rbyte activities explores the concept of debunking using Fermi Estimation, R, and ChatGPT.

   https://qubeshub.org/publications/4786/?v=1

6. Learning R for Biologists: A Mini Course Grab-Bag for Instructors

   21 Mar 2023 | Teaching Materials | Contributor(s):

   By Amanda D. Clark¹, Laurie S. Stevison*¹

   Auburn University

   As biology becomes more data driven, teaching students data literacy skills has become central to biology curriculum. Despite a wealth of online resources that teach researchers how to use R, there...

   https://qubeshub.org/publications/3698/?v=1

7. Thinking deeply about quantitative analysis: Building a Biologist's Toolkit

   26 Aug 2021 | Teaching Materials | Contributor(s):

   By Sarah Bray¹, Paul Duffin¹, James D. Wagner¹

   Transylvania University

   Vision and Change in Undergraduate Biology Education encouraged faculty to focus on core concepts and competencies in undergraduate curriculum. We created a sophomore-level course, Biologists'...

   https://qubeshub.org/publications/2575/?v=1

8. Statistics with epidemiology of COVID-19

   20 Jun 2021 | Teaching Materials | Contributor(s):

   By Maria Shumskaya¹, Shakira Benjamin¹, Matthew G Niepielko¹, Nicholas Lorusso¹

   Kean University

   Introduction into heat maps, non-parametric t-test and GIF (optional) in R using an original dataset on COVID-19 infections from different counties of New Jersey, USA. Suitable for students who...

   https://qubeshub.org/publications/2439/?v=1

9. An Introduction to the R Programming Environment

   02 Jun 2021 | Teaching Materials | Contributor(s):

   By K. A. Garrett¹, P. D. Esker¹, A. H. Sparks¹

   Kansas State University

   An online module introducing students and biologists to R, published in American Phytopathological Society

   https://qubeshub.org/publications/1002/?v=2

10. Ingestion of Microplastics by Coral

    12 May 2021 | Teaching Materials | Contributor(s):

    By Alyssa Hoekstra

    QUBES lesson on ingestion of microplastics by coral. Lesson will give environmental background and then use R for hands-on statistical analyses, followed by critical thinking questions.

    https://qubeshub.org/publications/2350/?v=1

11. Case Study — World records as measures of senescence or randomness

    12 Nov 2020 | Teaching Materials | Contributor(s):

    By Carrie Diaz Eaton¹, Carl Bergstrom², Jevin West²

    1. Bates College and QUBES 2. University of Washington

    This is a project meant to accompany the Case Study that Carl Bergstrom, which uses R to explore whether declining track and field world record performance could be an artifact of sample size (less...

    https://qubeshub.org/publications/2125/?v=1

12. Case Study - Storks vs Babies

    11 Nov 2020 | Teaching Materials | Contributor(s):

    By Carrie Diaz Eaton

    Bates College and QUBES

    This is a R project based on the Robert Matthews paper Storks vs Babies. The idea is to replicate the results of the paper, learn a bit about R for linear fits and graphing and explore correlation...

    https://qubeshub.org/publications/2123/?v=1

13. Calling Bull Case Study — 99.9% Caffeine-free with R

    11 Nov 2020 | Teaching Materials | Contributor(s):

    By Carrie Diaz Eaton¹, Carl Bergstrom², Jevin West²

    1. Bates College and QUBES 2. University of Washington

    This is an adaptation of Calling Bull's Case Study on how caffeine free is hot chocolate versus coffee in order to make it into a student project that uses R.

    https://qubeshub.org/publications/2122/?v=1

14. NEON Data in the Classroom: Quantifying Spatial Patterns

    23 Jul 2020 | Teaching Materials | Contributor(s):

    By Kusum Naithani

    University of Arkansas, Fayetteville, AR 72701

    Students build on fundamental concepts of spatial patterns and combine this knowledge with the open-data from the National Ecological Observatory Network to quantify spatial autocorrelation and...

    https://qubeshub.org/publications/1398/?v=1

15. An introduction to population matrix models: a swirl lesson

    15 Jun 2020 | Teaching Materials | Contributor(s):

    By Jennifer Apple

    SUNY Geneseo

    Students will learn how to set up a population matrix model in R and use it for demographic analysis of a population, including projecting population growth, determining lambda and the stable age...

    https://qubeshub.org/publications/1926/?v=1

16. Remote sensing data processing – NEON airborne data

    10 Jun 2020 | Teaching Materials | Contributor(s):

    By Yingying Xie

    Northern Kentucky University

    Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to...

    https://qubeshub.org/publications/1905/?v=1

17. Cleaning Data with R and the Tidyverse in Swirl

    09 Jun 2020 | Teaching Materials | Contributor(s):

    By Rachel Hartnett

    Mount St. Mary's University

    The overall goal is to help students learn common data cleaning procedures on a dataset once they’ve collected measurements and before they are able to start their analysis. This swirl lesson is...

    https://qubeshub.org/publications/1891/?v=1

18. Coding Club: A Positive Peer-Learning Community

    22 Apr 2020 | Teaching Materials | Contributor(s):

    By Gergana Daskalova¹, Sandra Angers-Blondin¹, John Godlee¹, Izzy Rich¹, Beverly Tan¹, Declan Valters¹, Haydn Thomas¹, Pedro Miranda¹, Gabriela Hajduk¹, Kat Keogan¹, Isla Myers-Smith¹, Kyle Dexter¹, Christina Coakley¹

    University of Edinburgh

    Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh

    https://qubeshub.org/publications/1816/?v=1

19. SEIR simulation activity for flattening the curve

    12 Mar 2020 | Teaching Materials | Contributor(s):

    By Carrie Diaz Eaton

    Bates College and QUBES

    This is a short exploration activity to introduce SIR and SEIR models without explicitly introducing differential equations. It utilizes the R package EpiDynamics and students can run the...

    https://qubeshub.org/publications/1763/?v=1

20. Population Ecology in Swirl: Estimating Population Sizes

    12 Feb 2020 | Teaching Materials | Contributor(s):

    By Mary E McWhirt, Emily Weigel¹

    Georgia Institute of Technology

    The students will learn to estimate population sizes and consider assumptions of mathematical models and their applicability to the ecology of an organism/population

    https://qubeshub.org/publications/1353/?v=2