Online Archive of University of Virginia Scholarship
Smoothness of Symbol Codes; Algorithms and Addictions14 views
Author
Ray, Donovan, School of Engineering and Applied Science, University of Virginia
Advisors
Wayland, Kent, Engineering and Society, University of Virginia
Farnoud, Farzad, Computer Science, University of Virginia
Abstract
This thesis presents two independent projects as part of the graduation requirements from the School of Engineering and Applied Sciences at the University of Virginia, one technical project and one sociotechnical project. The technical project is titled Smoothness of Symbol codes, and investigates theoretical boundaries in information theory and data compression. The sociotechnical project is titled Algorithms and Addictions, and explores the role of recommendation algorithms in producing user addiction on short-form content platforms.
Degree
BS (Bachelor of Science)
Keywords
Information Theory; Compression Algorithms; Symbol Codes; Short-form Video; Short-form Video Addiction
Notes
School of Engineering and Applied Science
Bachelor of Science in Computer Science
Technical Advisor: Farzad Farnoud
STS Advisor: Kent Wayland
Language
English
Rights
All rights reserved by the author (no additional license for public reuse)
Ray, Donovan. Smoothness of Symbol Codes; Algorithms and Addictions. University of Virginia, School of Engineering and Applied Science, BS (Bachelor of Science), 2026-05-08, https://doi.org/10.18130/gph2-sw42.
