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1-005A-ChemDataCollection-ModelingScenario
25 May 2022 | Teaching Materials | Contributor(s):
By Brian Winkel
SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations
A student is assigned the task of collecting data on a chemical reaction and does a poor job of collecting data. She only collects data at the start and end of a number of ten minute intervals and...
https://qubeshub.org/publications/3293/?v=1
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2008-Lawson-Marion-An Introduction to Mathematical Modelling
06 Apr 2023 | Teaching Materials | Contributor(s):
By Daniel Lawson
NA
This is a broad based set of notes with sections: Building Models, Studying Models, and Using Models. No depth on any model, no solution strategies, but good references to models, and general...
https://qubeshub.org/publications/4018/?v=1
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AIMS- Analyzing Images to learn Mathematics and Statistics - studying leaf cutter ants to learn linear regression
03 Jan 2018 | Teaching Materials | Contributor(s):
By Jeremy M Wojdak
Radford University
This is a teaching resource that uses fascinating images and videos of leaf cutter ants foraging in Panama to provide an engaging context for students to learn about mathematics and statistics.
https://qubeshub.org/publications/239/?v=1
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Amino Acid Frequency
23 Dec 2018 | Teaching Materials | Contributor(s):
By Lou Gross1, Monica Beals1, Susan Harrell1
University of Tennessee Knoxville
This module introduces expected frequencies in the context of understanding amino acid composition. It is intended for an introductory biology audience.
https://qubeshub.org/publications/979/?v=1
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An Introduction to Statistical Learning: with Applications in R
23 Oct 2018 | Teaching Materials | Contributor(s):
By Gareth James1, Daniela Witten2, Trevor Hastie3, Robert Tibshirani3
1. University of Southern California 2. University of Washington 3. Stanford University
This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.
https://qubeshub.org/publications/847/?v=1
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Biostatistical Tools
15 Aug 2024 | Teaching Materials | Contributor(s):
By Anton E Weisstein1, Rama Viswanathan2, Sheldon Gordon3, Jennifer Spangenberg2
1. Truman State University 2. Beloit College 3. Framingham State College
This Excel collection of workbooks has tools for: 1. Linear regression through the origin 2. Linear regression not through the origin 3. Polynomial fit 4. A simple chi-square analysis to test...
https://qubeshub.org/publications/4935/?v=1
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Cardiac Output
15 Feb 2019 | Teaching Materials | Contributor(s):
By Lou Gross1, Monica Beals1, Susan Harrell1
University of Tennessee Knoxville
This module introduces Fick's principle in the context of understanding the cardiac output. It is intended for an introductory biology audience.
https://qubeshub.org/publications/1076/?v=1
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Climate-Induced Shifts in California Butterflies
18 Feb 2021 | Teaching Materials | Contributor(s):
By Jessica Coyle
Saint Mary's College of California
A module in which students generate and test hypotheses about butterfly species’ response to climate change in the Central Valley and Sierra Nevada Mountains of northern California using publicly...
https://qubeshub.org/publications/1884/?v=2
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Climate-Induced Shifts in California Butterflies
17 Jul 2020 | Teaching Materials | Contributor(s):
By Jessica Coyle
Saint Mary's College of California
A module in which students generate and test hypotheses about butterfly species’ response to climate change in the Central Valley and Sierra Nevada Mountains of northern California using publicly...
https://qubeshub.org/publications/1884/?v=1
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Dendroclimatology
17 Sep 2018 | Teaching Materials | Contributor(s):
By Jeremy M Wojdak1, R. S. Maxwell1
Radford University
Dendroclimatologists can reconstruct climate records further into the past than written records, by examining tree rings. Students "reverse-engineer" this process by considering growth rates of a...
https://qubeshub.org/publications/544/?v=2
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Dendroclimatology
24 Aug 2018 | Teaching Materials | Contributor(s):
By Jeremy M Wojdak1, R. S. Maxwell1
Radford University
Dendroclimatologists can reconstruct climate records further into the past than written records, by examining tree rings. Students "reverse-engineer" this process by considering growth...
https://qubeshub.org/publications/544/?v=1
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Doubling Time of Tumors
11 Jan 2019 | Teaching Materials | Contributor(s):
By Lou Gross1, Monica Beals1, Susan Harrell1
University of Tennessee Knoxville
This module introduces the calculation of potential doubling time of tumorous cells in the context of understanding the growth of a population of the cells. It is intended for an introductory...
https://qubeshub.org/publications/983/?v=1
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Exploring global reef health and human population using correlation and simple linear regression
10 May 2021 | Teaching Materials | Contributor(s):
By David Sale
Virginia Commonwealth University
In this lesson, students will explore the relationship between reef cover and human disturbance. Students will manipulate a large dataset and perform normality tests, data transformations,...
https://qubeshub.org/publications/2341/?v=1
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Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data
17 Dec 2021 | Teaching Materials | Contributor(s):
By Adam Rumpf
Florida Polytechnic University
In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear...
https://qubeshub.org/publications/2831/?v=1
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Investigating Determinants of Richness in Ephemeral and Permanent Wetlands Using Linear Models in Shiny
21 Jan 2019 | Teaching Materials | Contributor(s):
By Kristofor Voss
Regis University
This resource seeks to provide a quantitative platform by which students can be taught about interactive effects using the TIEE module created by Little (2018). Key to the adaptation is the use of...
https://qubeshub.org/publications/1018/?v=1
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Leaf cutter ant foraging
24 Aug 2018 | Teaching Materials | Contributor(s):
By Jeremy M Wojdak1, Justin Touchon2, Myra Hughey2
1. Radford University 2. Vassar College
This module introduces students to leaf-cutter ants in the rainforests of Panama. Students derive their own research hypotheses regarding ant foraging or allometric scaling relationships.
https://qubeshub.org/publications/542/?v=1
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Lichen Niches and Distributions Lab Activity
14 May 2021 | Teaching Materials | Contributor(s):
By Jessica Coyle
Saint Mary's College of California
This is a 2-part lab activity based on the EREN-NEON Flexible Learning Project: Lichens in Diverse Landscapes. Students conduct field surveys of lichen abundance near their homes and explore...
https://qubeshub.org/publications/2374/?v=1
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Linear Regression (Excel) and Cellular Respiration for Biology, Chemistry and Mathematics
03 Dec 2021 | Teaching Materials | Contributor(s):
By Irene Corriette1, Beatriz Gonzalez1, Daniela Kitanska2, Henriette Mozsolits2, Sheela Vemu3
1. Santa Fe College 2. Passaic County Community College 3. Waubonsee Community College
Students typically find linear regression analysis of data sets in a biology classroom challenging. These activities could be used in a Biology, Chemistry, Mathematics, or Statistics course. The...
https://qubeshub.org/publications/2811/?v=1
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Permeability of Molecules
10 Dec 2018 | Teaching Materials | Contributor(s):
By Lou Gross1, Monica Beals1, Susan Harrell1
University of Tennessee Knoxville
This module introduces Overton's Rule in the context of understanding the permeability of molecules across the cell membrane. It is intended for an introductory biology audience.
https://qubeshub.org/publications/940/?v=1
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Statistical Exploration of Climate Data
30 Oct 2018 | Teaching Materials | Contributor(s):
By Tamra Carpenter1, Jon Kettenring2, Robert Vanderbei3
1. DIMACS, Rutgers University 2. Research Institute for Scientists Emeriti, Drew University 3. Princeton University
In this module the students will learn some basic concepts in statistical thinking about data, with emphasis on exploratory data analysis.
https://qubeshub.org/publications/900/?v=1