CURE Examples

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Discipline
Computer Science
Target Audience
Upper Division

Results 1 - 2 of 2 matches

Community Flood Risk Assessment from Rising/Surging Seas Project
Kevin Kupietz, Elizabeth City State University
Globally 634 million people, 10% of the world's population, live in coastal areas less than 10 meters above sea level. According to 2010 census data, 123 million people, 39% of the United States population, live in coastal counties with an estimated increase to this number by 8% in the 2020 census. As natural disasters have been seen to increase in frequency and severity in the past five years coupled with expected sea rises from climate change it is important that anyone involved with the safety and resiliency planning of their organization/community have an understanding of how to scientifically assess risk from flooding in order to mitigate and recover from the effects. This project allows students the ability to develop skills to utilize computer modeling systems and to apply the data to real world communities in examining risk to structures as well as different groups in the community.

Discipline: Environmental Science, Geoscience:Hydrology, Environmental Science:Natural Hazards, Land Use and Planning, Global Change and Climate, Oceans and Coastal Resources, Geoscience:Ocean Science, Geoscience, Computer Science, Engineering, Social Sciences, Sociology, Psychology, Environmental Science:Ecosystems, Sustainability
Core Competencies: Developing and using models, Asking questions (for science) and defining problems (for engineering), Planning and carrying out investigations, Using mathematics and computational thinking, Constructing explanations (for science) and designing solutions (for engineering), Analyzing and interpreting data
Nature of Research: Applied Research
State: North Carolina
Target Audience: Major, Non-major, Upper Division
CURE Duration: A full term

Using R to Build Powerful Predictive Models for Kaggle Competitions
Earvin Balderama, California State University-Fresno

Discipline: Statistics, Computer Science
Core Competencies: Using mathematics and computational thinking, Analyzing and interpreting data, Developing and using models
Nature of Research: Informatics/Computational Research, Applied Research
State: California
Target Audience: Non-major, Major, Upper Division
CURE Duration: A full term