Comparing the Exploration of Academic Majors at Duke

Project Summary

Over ten weeks, Math/CompSci majors Benjamin Chesnut and Frederick Xu joined forces with International Comparative Studies major Katharyn Loweth to understand the myriad academic pathways traveled by undergraduate students at Duke. They focused on data from Mathematics and the Duke Global Health Institute, and worked closely with departmental leadership from both areas.

Themes and Categories
Contact
Paul Bendich
Mathematics
bendich@math.duke.edu

Project Results: The team created interactive Tableau visualizations of academic and demographic data within Mathematics and Global Health. Working in MySQL, Python, and R, they clustered students into different groups based on math courses taken. They also performed feature selection to understand the key differences between Global Health majors and minors, as well as analyzing the main pathways into the Global Health program.

Partially sponsored by the Department of Mathematics and by the Duke Global Health Institute.

Click here for the Executive Summary

Faculty Leads: Jonathan MattinglyDavid Toole

Project Manager: Zhennan Zhou

Related People

Related Projects

United Nations Sustainable Development Goal 7 calls for universal access to affordable, reliable, sustainable, and modern energy. Researchers and practitioners around the world have responded to this call by producing a wealth of energy access data. While many data gaps still exist, are we capturing the fullest potential from the information and research we do have, and what it tells us about how to accelerate energy access? Power for All’s Platform for Energy Access Knowledge (PEAK) is an interactive knowledge platform designed to automatically curate, organize, and streamline large, growing bodies of data into digestible, sharable, and useable knowledge through automated data capture, indexing, and visualization. A team of students led by Rebekah Shirley will consult with Power for All to creatively visualize PEAK’s library, and to explore machine learning and natural language processing tools that can enable auto-extraction and visualization of data for more effective science communication.

Are there relative value opportunities in the global corporate bond markets?  
A team of students will work with Professor Emma Rasiel to understand whether an analysis of credit spreads on bonds issued by international firms in multiple countries over time can shed light on potential arbitrage opportunities. The team will have frequent opportunities to interact with analytics professionals at a leading financial advisory and asset management firm.

 

A team of students will consult with a leading financial advisory and asset management firm that is seeking to understand how big data can shed light on the secondary market for construction machinery. Students will explore a combination of publicly-available datasets that describe the used-machinery market and its potential implications as an indicator for the business cycle. There will be frequent interactions with analytical professionals from the firm.