NDLI: Graphing the Spread of Disease

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Graphing the Spread of Disease

Content Provider	TeachEngineering: STEM curriculum for K-12
Author	Hamersky, Steve Sandall, Brian
Copyright Year	2013
Description	Students simulate disease transmission by collecting data based on their proximity to other students. Students learn real-world engineering applications of graph theory and see how numerous instances of real-world relationships can be more thoroughly understood by applying graph theory. Students simulate disease transmission by collecting data based on their proximity to other students. One option for measuring proximity is by having Bluetooth devices "discover" each other. After data is collected, students apply graph theory to analyze it, and summarize their data and findings in lab report format. Students learn real-world engineering applications of graph theory and see how numerous instances of real-world relationships can be more thoroughly understood by applying graph theory. Also, by applying graph theory the students are able to come up with possible solutions to limit the spread of disease. The activity is intended to be part of a computer science curriculum and knowledge of the Java programming language is required. To complete the activity, a computer with Java installed and appropriate editing software is needed.
Language	English
Access Restriction	Open
Rights Holder	Regents of The University of Colorado Board of Regents, University of Nebraska
Subject Keyword	Computer Science Data Analysis and Probability Social Connection Social Network Adjacency Matrix Graph Theory Adjacency List Facebook Friends Network
Content Type	Text
Time Required	PT1H30M
Education Level	Class IX Class X Class XI Class XII
Pedagogy	Experimental Activity
Resource Type	Hands-on
Subject	Probability Computer Science and Information Technology

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