1. 

   1-102-CancerTumor-ModelingScenario

   out of 5 stars 

   22 May 2022 | Contributor(s): Jue Wang | doi:10.25334/YR6F-RN29

   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 exponential, power law, Bertalanffy, logistic, and Gompertz

2. 

   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.

3. 

   1-138-InnerEarDrugDelivery-ModelingScenario

   out of 5 stars 

   22 May 2022 | Contributor(s): Jue Wang | doi:10.25334/F9HH-FK88

   Students examine local drug delivery to the cochlea. The delivery system is modeled as a liquid mixing problem. Students formulate the differential equation, and solve the equation using separation of variables or integrating factor.

4. 

   6-006-ZombieGameHvZ-ModelingScenario

   out of 5 stars 

   17 May 2022 | Contributor(s): Jue Wang | doi:10.25334/J1ZH-0W91

   Invented in 2005, Humans vs. Zombies, or HvZ, is a game of tag, predominantly played at US college campuses. In this activity, students use systems of non-linear differential equations to model the HvZ game.

5. 

   6-016-PandemicModeling-ModelingScenario

   out of 5 stars 

   17 May 2022 | Contributor(s): Jue Wang | doi:10.25334/78TV-8Y48

   The recent coronavirus outbreak has infected millions of people worldwide and spread to over 200 countries. How can we use differential equations to study the spread of coronavirus?

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