Computer Science Extravaganza

The Department of Computer Science is holding a live Zoom event for all UMW Students Who Love Computer Science, Data Science, and Cybersecurity on Friday, April 30th at noon. Students present a project (software, data science, cyber security) completed this
All projects are welcome. The project can be a classroom assignment or something you created for fun.

Student projects featured at the live event:

Ryan Phillips – Simple Encryption and Decryption in Python

Brandon Frulla, Rob Carroll, Justin Mittereder – Modeling Polarization in Mass Populations Using ABM & Novel Opinion Dynamics

David Miller, Tyler Viacara, Alexander Loveland, Jema Unger, Joanna Osam, Samuel Adler, Lauren Pittman, Jacob Barker – UMW Outreach – The University wants ways to help connect parents with UMW students who could serve as tutors or even childcare (virtual tutor, maybe in-person childcare).

John-Paul King – CPSC 430 Alumni Project

David Craig – CPSC 444 Final Project

Sarah Riddell – ButterSpy – Online Identification Guide for Butterflies of Alexandria, VA. A unique take on virtual identification: removing the concept of instant gratification. Most nature identification apps (think PictureThis or iNaturalist) include a camera for quick and convenient results. While awesome, this approach does not encourage development of a user’s observational skills, which is one of the most important skills when it comes to identification. ButterSpy removes the camera element, requiring the user to observe and input distinct identifiers on their own. The app returns possible matches, following the principle “the more you give, the more you get.”

Miles Spence – An Epidemiological Simulation of COVID-19. Use past data from the CDC and Our World in Data (OWID), as well as Differential Equations to create a model to simulate as best as possible the spread of COVID-19.

Makayla Ferrell – Baby-step giant-step algorithm and discrete logs applied to public-private encryption.

Supreet Singh, Madison Williams, Madeline Phillips, and Paula Dorca – Data Science
Analysis of board game engagement