CTB - Data Modeling
 Open for Registration
  • Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
  • Lab time: Thursday: 11:30:00 - 13:20:00 ET
  • Domain: Digital Agriculture
  • Keywords: Data integrity, Data Modeling, failure detection, notification
  • Tools: Azure, Data Analytics, Python, SQL
  • Citizenship: Open to all students
Summary

This project progresses our pursuit of condition-based maintenance & predictive maintenance by developing data models to: 1. Analyze equipment data sets 2. Send a message when an anomaly is detected.

Description

Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'CTB' in the Note section, and select the appropriate CRN.

AY 2024 - 2025 Last updated: April 12, 2024, 8:20 a.m.