All QBCC Modules
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Alida Janmaat, Pete Kaslik, Randall LaRue Moser Jr, Kevin David Simpson, Heather Susanne Zimbler-DeLorenzo
Version: 1.0
Students are introduced to concepts of hypothesis testing using elementary hypothesis tests, t-tests, and p-values as they compare a given fish population for methylmercury levels (using real and hypothetical data) against real-world mercury standards.
John Howard Starnes, Sondra Marie LoRe, Vedham Karpakakunjaram, Joseph Esquibel, Deborah Rook, Kristin Jenkins
Version: 1.0
Poster about the use of QB@CC modules in a faculty mentoring network. Presented at the 2021 BIOME Institute.
Andrea Huntoon, John Doudna, Pallavi Bhale, Thalita Abrahão, Alys Hugo, Jennifer Lyon Adler
Version: 1.0
This module utilizes a user-friendly database exploring data selection, box-and-whisker plot, and correlation analysis. It also guides students on how to make a poster of their data and conclusions.
Heather Seitz, Jillian Marie Miller, Joseph Esquibel
Version: 2.0
This module explores how cell size and shape varies across cell types in the human body by having students calculate relative proportions of numbers in scientific notation.
Adam Marschall Jaros, Adronisha Frazier, Beth Alford, Brandy Williams
Version: 1.0
In this activity, students will explore the concept of binary fission, generation time, and bacterial growth curves, with an emphasis on the log phase. Students will use semi-log graphs and linear graphs to plot bacterial cell growth.
Jennifer Lyon Adler, David Simon, Emmanuel des-Bordes, Joseph Esquibel, mary miller, Pradip Raj Aryal, Vickie Flanders
Version: 1.0
In this activity, students are introduced to graphing and modeling data in a step-wise fashion. Real data of covid-19 deaths over time are used to incrementally ask students to fit the data to several models and discuss which model fits best.
Ashley Lamb Galloway, Stefanie L Holmes, Ashley Morgan, Mary Ann Sexton
Version: 1.0
In this activity, students will perform an experiment utilizing dialysis tubing to create cellular models to demonstrate the linear relationship between cell weight and time in varying tonicities. Videos and data sets (of faculty results) are provided for
Allison Carter Burlyn, Christina Fieber, Melanie Lenahan
Version: 1.0
This lab is an exploration of enzyme function and the effects of environmental conditions on the activity of the enzyme amylase. The lab utilizes analytical and graphing skills to assess enzyme activity.
Angela Consani, Duane Doyle, David L Jones, Bara Sarraj, Heather Seitz
Version: 1.0
In this activity, students will explore the use of a hemocytometer for counting cells, demonstrate the relationship between the grid seen in the microscope with volume of liquid in suspension and count cells to determine concentration.
Andy Adams, Jessica A Adams, John J. Bray, Tami Imbierowicz, Suzanne Lenhart, Breonna Martin
Version: 1.0
In this activity students will use linear regression to analyze real data on vector-borne diseases and explore how environmental factors such as climate change or population density influence the transmission of these diseases.
Amy Troyer, Brandi Morgante Handzlik, Mary Phillips
Version: 1.0
This collection of activities explores the relationship between blood flow, pressure, and the factors of resistance through graphs and modeling direct and inverse variation.
John Howard Starnes, Christianne Baucom Nieuwsma, Jennifer Glee Buntz, Sondra Marie LoRe, Vedham Karpakakunjaram
Version: 1.0
This module explores surface area to volume ratios in a cube and sphere in relation to cell size.
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