CURE Examples
Discipline
Core Competencies Show all
Using mathematics and computational thinking
23 matchesNature of Research
State
Target Audience
Core CompetenciesResults 1 - 10 of 23 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
Design2Data
Ashley Vater, University of California-Davis
The D2D program is centered around an undergraduate-friendly protocol workflow that follows the design-build-test-learn engineering framework. This protocol has served as the scaffold for a successful undergraduate training program and has been further developed into courses that range from a 10-week freshman seminar to a year-long, upper-division molecular biology course. The overarching research goal of this CURE probes the current predictive limitations of protein-modeling software by functionally characterizing single amino acid mutants in a robust model system. The most interesting outcomes of this project are dependent on large datasets, and, as such, the project is optimal for multi-institutional collaborations.
Core Competencies: Using mathematics and computational thinking, Constructing explanations (for science) and designing solutions (for engineering), Analyzing and interpreting data, Planning and carrying out investigations, Asking questions (for science) and defining problems (for engineering), Developing and using models
Nature of Research: Wet Lab/Bench Research, Basic Research, Applied Research
Target Audience: Upper Division, Non-major, Major, Introductory
CURE Duration: A full term, Multiple terms
Laser spectroscopy of atmospherically relevant molecules and clusters in helium nanodroplets
Paul Raston, James Madison University
Superfluid helium nanodroplets present an ideal medium for the study of chemical dynamics at the molecular level. Their low temperature, enormous heat conductivity, and weakly interacting nature allow for the investigation of various things, such as how molecular rotation is effected by a solvent, and how molecules interact with each other. These two topics will be addressed in the lab by (1) measuring the spectra of unexplored molecules in helium nanodroplets and determining their rotational constants; this data will then be used to test known models describing the interaction between the molecule and helium solvent, and (2) synthesizing and characterizing unexplored molecular clusters in an effort to better understand molecular solvation; students will solvate the "unexplored molecule" with an atmospherically relevant species (O2, N2, H2O), and investigate the resulting clusters with laser Stark spectroscopy.
Core Competencies: Using mathematics and computational thinking, Constructing explanations (for science) and designing solutions (for engineering), Analyzing and interpreting data, Developing and using models, Planning and carrying out investigations, Asking questions (for science) and defining problems (for engineering)
Nature of Research: Basic Research
State: Virginia
Target Audience: Upper Division, Non-major, Major
CURE Duration: A few class periods, Multiple terms
Designing Authentic Undergraduate Experiences in Research (DAUER)
Joseph Ross, California State University-Fresno
In this research experience, students will learn about how inheritance of diverse genetic material from their parents can impact the health (fecundity) of offspring. Students will design experiments to mate pairs of populations from a diverse global collection of microscopic worms and measure and compare the fecundities of their hybrid offspring.
Core Competencies: Using mathematics and computational thinking, Planning and carrying out investigations, Analyzing and interpreting data, Asking questions (for science) and defining problems (for engineering)
Nature of Research: Basic Research, Wet Lab/Bench Research
State: California
Target Audience: Upper Division, Major
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
Optimizing Pedal People
Annie Raymond, University of Massachusetts-Amherst
This course is an introduction to mathematical modeling. The main goal of the class is to learn how to translate large broadly-defined real-world problems into quantitative terms for interpretation, suggestions of improvement and future predictions. Since this is too broad of a topic for one semester, this class focuses on linear and integer programming. The course is centered around a research project that involves optimizing different aspects of the bike-powered trash-recycling-compost-collection service Pedal People.
State: Massachusetts
CURE Duration: A full term
Introduction to Mathematical Proofs - Journey into the unknown
Tamas Forgacs, California State University-Fresno
This CURE processes traditional elements of a proofs course through student research initiated by problems posed in various mathematics journals aimed at the general mathematics community. Students are tasked with solving these problems, and generalize their answers in suitable ways.
State: California
Target Audience: Major
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
Investigating local climate change impacts in a STEM first year learning community
Mara Brady, California State University-Fresno
still in progress...
Core Competencies: Using mathematics and computational thinking, Analyzing and interpreting data, Asking questions (for science) and defining problems (for engineering), Constructing explanations (for science) and designing solutions (for engineering), Planning and carrying out investigations
Nature of Research: Applied Research, Field Research
Target Audience: Major
CURE Duration: Multiple terms
Effect of Short Blood Sample on Patient Results Validity
Anna Marti-Subirana, Phoenix College
This CURE addresses how body fluid short sampling affects result interpretation and diagnostics. Short sampling can lead to false result interpretation and misdiagnosis. No data are available on the impact of short sampling and clinical diagnostics.
Core Competencies: Analyzing and interpreting data, Planning and carrying out investigations, Using mathematics and computational thinking, Asking questions (for science) and defining problems (for engineering)
Nature of Research: Applied Research
State: Arizona
Target Audience: Major
CURE Duration: A full term