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Using Real Data for Science and Math: Examining Watershed Characteristics

This project starts with basic definitions of computational science, modeling and visualization. Then, a short course on using common spreadsheet and graphing functions in Excel is presented. Finally, a mini-project with predefined exemplar datasets allows students to use the spreadsheet and graphing functions with real data. A presentation on watersheds is also included.

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Using Real Data for Science and Math: Urban Sprawl and its Impacts on Rural America

This project focuses on the effects of migration on land resources. A dataset on one of the fastest growing communities in Ohio — Medina County — is assembled to quantify the rate of change in population and land use. To do that, speadsheet and graphing functions in Excel are used. Step-by-step instructions are included. The students are able to project future parcel needs with respect to the current tends.

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A Short Course: Using Modeling and Statistics

This short course provides introductory information on modeling and statistics. It is hoped that with the knowledge on modeling and statistical methods, teachers will be able to use project-based learning in their classrooms by applying real science data. The course includes subjects on modeling: types of models, how to create quantitative models, and visualization techniques. It also includes subjects on statistics: descriptive statistics, central tendency measures, line and curve fitting, and linear regression. Resources on these subjects are also included.

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Modeling Chemical Kinetics with Stella

STELLA is a convenient and easily understood tool for constructing and studying chemical kinetics. This site provides simple models where "real" chemical names substituted for "A", "B", etc., and experimentally determined rate constants can be entered. The resulting models accurately predict the concentration of the various chemical species at any time of interest. In their "general" form, the models can be experimented with to gain an understanding of the important factors that govern kinetics.

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Experience Ohio's Watersheds

This site will allow you to become familiar with watersheds and their characteristics and learn about the importance of biological stream quality monitoring in the land use planning process. Water quality can be measured in many ways. in this site, you can explore what those measures are and what they can tell you about the water quality. It is very important to minimize the impact of development on watersheds. We can help maintain and protect the quality of watersheds by using best management practices (BMPs). You can learn about BMPs in this site and find out which are best suited for particular situations.

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Hurricanes and Flooding

In this exercise, you will use some real weather and flooding data to construct a model that predicts how much flooding will occur based on the amount of rainfall.  You will then use that model to predict the flood damage caused by Hurricane Floyd in 1999. You will compare your flood damage estimate with the actual damage to see how well your model works.

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Please contact Al-Azad Iqbal or Steve Gordon for Questions and Comments - Updated 10/24/07