QBCC Modules sorted by Quantitative Biology Skills Concepts
These quantitative skill concepts arose from a NIMBioS working group that worked to identify the core quantitative biology skills that community college students need based on surveying community college faculty.
List of Quantitative Categories
Some QBCC modules fit into multiple categories. There are currently 6 unique QBCC modules listed multiple times in the following categories.
Modules in Each Category
1. Understand the relationship between fractions, decimals, ratios & percents
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.
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.
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2. Write mathematical equations from a verbal equation
No resources found.
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3. Understand rates of change
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.
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4. Choose appropriate model to describe a phenomenon
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.
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.
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5. Explain descriptive statistics
No resources found.
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6. Use statistics when appropriate
No resources found.
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7. Make probability calculations
No resources found.
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8. Convert units of measurements
Heather Seitz, Jillian Marie Miller, Joseph Esquibel
Version: 1.0
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.
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.
Back to top
9. Estimate accuracy of answer/calculation
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.
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10. Change scales (order of magnifications, scientific notation, significant digits)
Heather Seitz, Jillian Marie Miller, Joseph Esquibel
Version: 1.0
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.
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.
Back to top
11. Use elementary functions
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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12. Create graphs
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.
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.
Back to top
13. Interpret graphs
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
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.
Back to top
14. Interpret tables
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.
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.
Back to top
15. Manipulate equations
Heather Seitz, Jillian Marie Miller, Joseph Esquibel
Version: 1.0
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.
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.
Back to top