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1-102-CancerTumor-ModelingScenario
22 May 2022 | Teaching Materials | Contributor(s):
By Jue Wang
This module guides students in the use of differential equation models to predict cancer growth and optimize treatment outcomes. Several classical models for cancer growth are studied, including...
https://qubeshub.org/publications/3223/?v=1
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1-102C-CancerGrowth-ModelingScenario
22 May 2022 | Teaching Materials | Contributor(s):
By Jennie D'Ambroise1, Jue Wang
SUNY Old Westbury, Old Westbury NY USA
This module guides students in the use of differential equation models to predict cancer growth and study treatment outcomes. Several classical models for cancer growth are presented including...
https://qubeshub.org/publications/3222/?v=1
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1-122-SpreadPEV-ModelingScenario
22 May 2022 | Teaching Materials | Contributor(s):
By Brian Winkel
SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations
We present data on world sales data of plug-in electric vehicles (PEVs) and request a model on the rate of change in sales over time, leading to prediction as to number of PEVs in the future.
https://qubeshub.org/publications/3210/?v=1
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1972-R_C_Rothermel-A Mathematical Model for Predicting Fire Spread in Wildland Fuels
23 Mar 2023 | Teaching Materials | Contributor(s):
By R C The development of a mathematical model for predicting rate of fire spread and intensity applicable to a wide range of wildland fuels is presented from the conceptual stage through evaluation and demonstration of results to hypothetical fuel models.
NA
The development of a mathematical model for predicting rate of fire spread and intensity applicable to a wide range of wildland fuels is presented from the conceptual stage through evaluation and...
https://qubeshub.org/publications/3839/?v=1
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6-067-LotkaVolterra-ModelingScenario
16 May 2022 | Teaching Materials | Contributor(s):
By Iordanka Panayotova1, Maila Hallare2
1. Christopher Newport University 2. NSU Math
This modeling scenario guides students through the process of fitting the Lotka-Volterra model of two differential equations to a real time series observational data. Students use the capabilities...
https://qubeshub.org/publications/3079/?v=1
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Making Predictions with Linear Models: A Murder Mystery Case Study
31 May 2021 | Teaching Materials | Contributor(s):
By Miranda Chen Musgrove1, Lisa A. Corwin1, Andrew Martin1
University of Colorado, Boulder
This Swirl lesson will introduce two main concepts to students: 1) the idea of uncertainty around linear slopes versus individual values and 2) predicting values using linear models.
https://qubeshub.org/publications/2396/?v=1