CURE Examples
Core Competencies
- Asking questions (for science) and defining problems (for engineering) 4 matches
- Developing and using models 2 matches
- Planning and carrying out investigations 2 matches
- Analyzing and interpreting data 5 matches
- Using mathematics and computational thinking 4 matches
- Constructing explanations (for science) and designing solutions (for engineering) 2 matches
Nature of Research
CURE Duration
DisciplineResults 1 - 7 of 7 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.
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
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
Brain Mapping of Psychiatric Disorders
Chris Miller, California State University-Fresno
This course will introduce students to the neuroscience of psychiatric disorders by guiding them through the process of conducting a meta-analysis of fMRI studies of a particular psychiatric disorder of their choice.
Core Competencies: Analyzing and interpreting data, Asking questions (for science) and defining problems (for engineering), Using mathematics and computational thinking
Nature of Research: Informatics/Computational Research
State: California
Target Audience: Major
CURE Duration: A full term, Multiple terms
Big Data Analytics
Matin Pirouz, California State University-Fresno
The Big Data Analytics course prepares the students to practice and understand Big Data concepts, research a topic, and improve their programming skill. It also teaches the methods and algorithms to handle Big Data properly, introduces possible topics they can work on and provides possible data sources. These are achieved using active learning. Students will gain critical thinking skills and will be able to do guided research after the class.
Beyond the acronym: Employing data science to improve engagement in STEM
Pamela Reynolds, University of California-Davis
Forbes magazine ranked UC Davis as the "best value college for women in STEM." Let's investigate why, together! In this hands-on Course-based Undergraduate Research Experience (CURE), you will leverage computational tools and methodologies to explore, analyze and design solutions to maximize discoverability and engagement with STEM offerings right here at UC Davis. Community-based tools like the UC Davis STEM portal help students and members of the broader community discover and connect with opportunities in science, technology, engineering and math. How do we define STEM, and how do people interface with the diversity of offerings at our university? Through this seminar you will learn about web scraping, text mining, natural language processing, and user interface design as you work on projects to optimize search functionality and increase content management automation for the Portal, which serves as a single point of entry for catalogued information related to STEM initiatives, clubs, programs and events on campus. This research will be used to improve the discoverability and accessibility of our university's resources, and identify new opportunities for multidisciplinary research and engagement with STEM. The data we collect and workflows designed in this class will contribute to research in the digital humanities and philosophy of science regarding the shape of the discourse surrounding STEM in academia. It will also have a direct application in helping our students and broader community discover new resources and opportunities. Students will be required to work both individually and collaboratively in groups, and to share their learning with each other. This class is open to first-year freshman and transfer students from all majors. You do not need to be a computer scientist to be successful in this course, but you should be comfortable using a computer and have prior exposure to programming (R, Python, etc.). Your instructor team is looking forward to supporting your learning and engagement with research in this class!
Core Competencies: Analyzing and interpreting data, Using mathematics and computational thinking, Planning and carrying out investigations, Asking questions (for science) and defining problems (for engineering)
Nature of Research: Applied Research, Informatics/Computational Research
State: California
Target Audience: Introductory, Major, Non-major
CURE Duration: A full term
Introduction to GIS using CURE
Elizabeth Bollen, Adams State University; Chayan Lahiri, Adams State University
Geographic information systems (GIS) are used in many capacities across every discipline to help communities, governments, and businesses make informed decisions. This Introduction to GIS CURE course aims to assist local ranches by locating sampling sites for watershed analyses. Students in this GIS course will develop skills manipulating data by learning GIS software. The students themselves are tasked with identifying sampling site criteria for the broader study, which will assist other student researchers in locating scientifically viable, safe, and accessible sampling sites for watershed sample collection. Students in this course will also use knowledge gained in prior classes to make and defend decisions. Written reports, figure drafting, and group discussions will help students learn how to clearly and effectively communicate their findings and results. The knowledge and skills students' gain in this course will be used in future classes and are highly sought after by employers.
Core Competencies: Asking questions (for science) and defining problems (for engineering), Analyzing and interpreting data, Constructing explanations (for science) and designing solutions (for engineering)
Nature of Research: Applied Research, Informatics/Computational Research
State: Colorado
Target Audience: Major, Non-major, Introductory
CURE Duration: Multiple terms, A full term
Diving into Web Design with Undergraduate Research
Malcolm Dcosta, Elizabeth City State University
Students will learn to develop web pages with technologies such as HTML, CSS, Javascript, PHP and mySQL.