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    Quantitative Biology at Community Colleges Network Meeting Code of Conduct
    Code of Conduct for the Quantitative Biology at Community Colleges (QBCC) Network Meeting in February 2020
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    A Phenology-focused CURE using Herbarium Specimen Data
    10-week course-based undergraduate research experience in which students conduct novel research on the effects of climate on phenological events (e.g., flowering) of a plant species using publicly...
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    QB@CC Community Standards for Events
    Community standards and expectations for in-person and online events hosted by QB@CC
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    Writing Clean Code in R Workshop
    When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.
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    A Customizable Inquiry-Based Statistics Teaching Application for Introductory Biology Students
    Building strong quantitative skills prepares undergraduate biology students for successful careers in science and medicine. While math and statistics anxiety can negatively impact student learning...
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    Climate change and Strawberries: A real-life problem-based activity for teaching ANOVA
    This is a real-life lab activity for teaching ANOVA using Problem-Based Learning and formatted for one-day (JMP or R) or two-day (JMP) implementations.
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    Trauma-Informed Pedagogy: Teaching in Uncertain Times
    This free online seminar is designed for educators who are interested in learning about how they can teach their students despite the presence of trauma related to CoVID-19. Tuesday, April 28,...
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    Data Analysis for the Life Sciences
    An online stats book written completely in R
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    Calling Bullshit Bates College DCS 105 RByte Slides
    This slide deck is a mix of in-class participation and coding activities which aims to formalize understanding of code.
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    Pesticide-Driven Bee Mortality: An Introduction to Survival Analysis in R
    In this lesson, students will receive an introduction to survival analysis in R utilizing data on bee mortality caused by pesticide exposure. In their code, students will assess survivability,...
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    Transpiration
    In this lab, students will examine differences between C3 and C4 plants in their transpiration rates.
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    Are you teaching biostatistics with R? Suggestions to help you as work with your students.
    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...
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    Why Do I Need a Lab Notebook? Teaching Responsible Conduct of Research with CURE Lab Notebooks
    There are few instructional tools about data acquisition and management available for undergraduate students. I created this lesson as a Fellow of the Ethics Network for Course-Based Opportunities...
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    Cross-Cultural Virtual Classroom for High School Calculus
    The Covid-19 pandemic has forced institutions to conduct distance learning. Though challenging, this has also created pedagogical possibilities. Students can now experience cultural exchange though...
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    Cookbook for R
    The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data.
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    Coding Club: A Positive Peer-Learning Community
    Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh
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    2009-Peter-Howard-Modeling With ODE
    This is a set of class notes rich in examples and ideas for modeling. There is some MatLab code in support of some of the activities.
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    2012-Gerald_Teschl-Ordinary_Differential_Equations_and_Dynamical_Systems
    This 364 page text is a quite theoretical approach and uses Mathematica code to illustrate the study.
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    Enabling authentic ecological inquiries using research data and imageries in large classrooms
    Presentation made by Ben Wu et al. as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of America annual...
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    Sample NetLogo Code of Bacterial Growth
    Each NetLogo file is a sequential version of the final bacterial growth model produced in the Bacterial Growth Tutorial. These are to be used as checks to one's understanding alongside the tutorial.
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