EGN 6505
Project in Applied Data Science
Using concepts learned in prerequisite courses, including AI ethics, math foundations, applied data science, and machine learning, students will individually or as a team identify data science problems, formulate solutions, and apply data science knowledge in the context of a real-world project. Project requirements include preparing a plan, technical final report, delivering an oral presentation, and creating a software repository.
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: EGS 6216 & CAP 5771 & EGN 6466.
Sources
- Course catalogue ↗2025-2026