1. 

   1-104A-T-InfectionRisk-ModelingScenario

   out of 5 stars 

   13 Jun 2023 | Contributor(s): Qingxia Li, Jennie D'Ambroise | doi:10.25334/QC7Q-1747

   This project is designed to examine differences between the exponential and logistic growth models in biology and how to apply these models in solving epidemic questions and comparing to actual disease data sets.

2. 

   1-005C-OilSlick-ModelingScenario

   out of 5 stars 

   26 May 2022 | Contributor(s): Jennie D'Ambroise | doi:10.25334/WSQ5-HZ75

   We describe a modeling activity for Calculus I students in which modeling with difference and differential equations is appropriate.

3. 

   1-102C-CancerGrowth-ModelingScenario

   out of 5 stars 

   22 May 2022 | Contributor(s): Jennie D'Ambroise, Jue Wang | doi:10.25334/7BJ5-XH82

   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 exponential, power law, Bertalanffy, logistic, and Gompertz.

Top 3 shown