Teaching Materials (1-20 of 34)

1. BCEENET- Broadening undergraduate participation in ecology and evolution research through CUREs using digitized natural history collections data (RCN-UBE Introduction)

   29 May 2023 | Teaching Materials | Contributor(s):

   By Janice L. Krumm¹, Carly N. Jordan², Liz Shea³, Jean L Woods⁴, Cecily D Bronson⁵

   1. Widener University 2. The George Washington University 3. Delaware Museum of Nature and Science 4. Bethel College, Kansas 5. BCEENET

   Biological Collections in Ecology and Evolution Network (BCEENET) brings together natural history collections (NHC) professionals, undergraduate educators, data experts, and researchers to support...

   https://qubeshub.org/publications/4351/?v=1

2. Pedigree Unspoken Assumptions

   15 May 2023 | Teaching Materials | Contributor(s):

   By Ria Goel¹, Andrea Jackman¹, Pamela Kalas¹

   University of British Columbia

   A video that highlights the unspoken assumptions that we use in pedigree analysis.

   https://qubeshub.org/publications/4344/?v=1

3. 2011-Nancy_Rodrıguez-Applied Partial Differential Equations in Crime Modeling and Biological Aggregation

   07 Apr 2023 | Teaching Materials | Contributor(s):

   By Nancy Rodrıguez

   NA

   In the first part we study a fully-parabolic system of PDEs for residential burglary ‘hotspots’ (spatio-temporal areas of high density of crime). In this work we are concerned with the existence...

   https://qubeshub.org/publications/4064/?v=1

4. 2003-Knorrenschild-Gross-Text Books on Mathematical Modeling in Biology

   04 Apr 2023 | Teaching Materials | Contributor(s):

   By Michael Knorrenschild

   NA

   Text Books on Mathematical Modeling in BiologyCompiled from the Internet by Michael Knorrenschild,

   https://qubeshub.org/publications/3962/?v=1

5. NSF Final Outcomes Report: Using the Lived Experiences and Narratives of Black Heritage and African American Gullah/Geechee to Learn Science Concepts

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

   By Catherine L Quinlan

   Howard University

   This resource is a public report that provides final outcomes from the NSF funded project award # 1928832. The resources included in this report are outcomes from the catalyst project titled:...

   https://qubeshub.org/publications/3849/?v=1

6. 2007-John_Jungck-Ten_Equations_that_Changed_Biology-Mathematics_in_Problem-Solving_Biology_Curricula The author

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

   By John R Jungck

   University of Delaware

   These equations were selected upon the basis of wide-spread recognition of the value of the models.

   https://qubeshub.org/publications/3806/?v=1

7. 2015-European_Bioinformatics_Institute-Bio-Models-Database

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

   By The European Bioinformatics Institute

   NA

   Bio Models Database is a repository of computational models of biological processes. Models described from literature are manually curated and enriched with cross-references. All models are...

   https://qubeshub.org/publications/3800/?v=1

8. 2012-Brian_Ingalls-Mathematical_Modelling_in_Systems_Biology

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

   By Brian Ingalls

   NA

   This text provides an introduction to dynamic mathematical modeling of cellular processes. The emphasis is on using computational tools to investigate models of cellular phenomena.

   https://qubeshub.org/publications/3765/?v=1

9. 2014-Jeffrey_Chasnov-Lecture_Notes_on_Introduction_to_Differential_Equations

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

   By Jeffrey Chasnov

   NA

   The differential equations text is 128 pages and develops and motivates the theory of the material nicely, with links to YouTube lectures to assist.

   https://qubeshub.org/publications/3760/?v=1

10. 2018-Eduardo-Sontag-Lecture_Notes_on_Mathematical_Systems_Biology

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

    By Eduardo Sonntag

    NA

    I am often asked if it is OK to use these notes in courses at other universities. The answer is “of course!” though I strongly suggest that a link to my website be provided, so that students can...

    https://qubeshub.org/publications/3752/?v=1

11. Modified Grassy Narrows and Muskrat Falls Dam: Hypothesis Testing and t-Tests

    23 Feb 2023 | Teaching Materials | Contributor(s):

    By Sharon Maureen Homer-Drummond

    Tri-County Technical College

    Methylmercury contamination within fish populations is an important toxin that affect human, animal, and environmental health, serving as a carcinogen (cancer-causing agent) and endocrine-disruptor...

    https://qubeshub.org/publications/3657/?v=2

12. Grassy Narrows and Muskrat Falls Dam: The Central Limit Theorem and a t-test

    09 Feb 2023 | Teaching Materials | Contributor(s):

    By Paul Miller

    Everett Community College

    Students are introduced to concepts of sampling distributions and hypothesis testing using a simulation applet, elementary hypothesis tests, t-tests, and p-values as they compare a given fish...

    https://qubeshub.org/publications/3679/?v=1

13. Modified Grassy Narrows and Muskrat Falls Dam: Hypothesis Testing and t-Tests

    01 Feb 2023 | Teaching Materials | Contributor(s):

    By Sharon Maureen Homer-Drummond

    Tri-County Technical College

    Methylmercury contamination within fish populations is an important toxin that affect human, animal, and environmental health, serving as a carcinogen (cancer-causing agent) and endocrine-disruptor...

    https://qubeshub.org/publications/3657/?v=1

14. Using the IEDB to Predict Proteasomal Cleavage Events and T-cell Epitopes

    17 Dec 2022 | Teaching Materials | Contributor(s):

    By Miko Mallari¹, Sheela Vemu², Valerie Carson³, Golnar Afshar⁴, Alma Rodriguez Estrada⁵, Clifford Wilson⁶, Sandra Porter⁷

    1. City College of San Francisco 2. Waubonsee Community College 3. Hillsborough Community College 4. Skyline College 5. Aurora University 6. City Colleges of Chicago 7. Digital World Biology

    Research experiences provide a valuable view into the world of science and a great way to explore new fields and careers while developing critical thinking skills. The development and maintenance...

    https://qubeshub.org/publications/3595/?v=1

15. Why representation matters: Interpreting data to identify factors that affect Black students’ persistence in STEM

    22 Aug 2022 | Teaching Materials | Contributor(s):

    By Suann Yang¹, Catherine Quinlan²

    1. State University of New York College at Geneseo 2. Howard University

    In this lesson, learners interpret a table summarizing the factors influencing the persistence of Black students at an HBCU. Then, learners view and reflect on an interview with science education...

    https://qubeshub.org/publications/3505/?v=1

16. Exploring Interdisciplinary Professional Development Opportunities through the Quantitative Biology at Community Colleges QB@CC Project

    19 Jul 2022 | Teaching Materials | Contributor(s):

    By Irene Corriette¹, Sheela Vemu²

    1. Santa Fe College 2. Waubonsee Community College - Tenure Track and Northern Illinois University

    The Quantitative Biology at Community Colleges (QB@CC) project provides a platform for open education resource (OER) development. Biology and mathematics faculty collaborate, create, and publish...

    https://qubeshub.org/publications/3470/?v=1

17. Using Grassy Narrows in a Live Classroom with Clicker Questions and Interactive Histogram: Sampling Distributions, Probability, and Hypothesis Testing

    24 May 2022 | Teaching Materials | Contributor(s):

    By Jonathan Andrew Akin

    Northwestern State University of Louisiana

    Students are introduced to concepts of sampling distributions, p-values, and hypothesis testing. Using both simulated and real data for methylmercury level in fish populations, students will...

    https://qubeshub.org/publications/3249/?v=1

18. 1-098-NeuronDetection-ModelingScenario

    23 May 2022 | Teaching Materials | Contributor(s):

    By Joshua Goldwyn

    Swarthmore College, Swarthmore PA USA

    Students study a linear, first order, one-dimensional ordinary differential equation (ODE) and learn how it can help understand basics of neural dynamics. The modeling framework is known in...

    https://qubeshub.org/publications/3226/?v=1

19. Are you teaching biostatistics with R? Suggestions to help you as work with your students.

    04 May 2022 | Teaching Materials | Contributor(s):

    By Olivia Tabares

    Universidad Nacional Autónoma de México

    Teaching students how to code and analyze data in R is important for the fields of biology and ecology. Olivia Tabares and the Ecological Forecasting Education Working Group created this resource...

    https://qubeshub.org/publications/2789/?v=2

20. Are you teaching biostatistics with R? Suggestions to help you as work with your students.

    16 Dec 2021 | Teaching Materials | Contributor(s):

    By Olivia Tabares-Mendoza

    Teaching students how to code and analyze data in R is important for the fields of biology and ecology. Olivia Tabares and the Ecological Forecasting Education Working Group created this resource...

    https://qubeshub.org/publications/2789/?v=1