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  • Lecture time: Monday: 13:30:00 - 14:20:00 ET
  • Lab time: Friday: 13:30:00 - 15:20:00 ET
  • Domain: Research and Development
  • Keywords: Name Entity Recognition, Semantic Relation detection
  • Tools: Git, High Performance Computing, Information extraction
  • Citizenship: Open to all students
Summary

Define the standard operating procedure for choosing optimal Hyper-parameters for NLP modeling.

DORIS - Database Design
Closed for Registration
  • Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
  • Lab time: Thursday: 11:30:00 - 13:20:00 ET
  • Domain: Consulting
  • Keywords: Communication and Interpersonal Skills, Consulting, Design Thinking
  • Tools: R
  • Citizenship: Open to all students
Summary

Students will work together to understand the data DORIS captures through interviews, then plan the best way to sort and save it.

  • Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
  • Lab time: Thursday: 09:30:00 - 11:20:00 ET
  • Domain: Social Network
  • Keywords: Data Scraping, Data Transformation, Product Design, Social Media, Web Browser Extension
  • Tools: HTML, Python, SQL
  • Citizenship: Open to all students
Summary

The goals are 1) web browser extension, 2) collecting and storing of website photos 3) ingestion and classification of events 4) collection and storing of delivery estimates.

  • Lecture time: Friday: 11:30:00 - 12:20:00 ET
  • Lab time: Monday: 11:30:00 - 13:20:00 ET
  • Domain: Health
  • Keywords: Machine Learning, Social Media, Web Scraping
  • Tools: Machine Learning, NLP, Python, R
  • Citizenship: Open to all students
Summary

This project will analyze information caregivers read on labels, websites, social media. Standardizing and synchronizing the units of measure on dosing directions and on dosing devices can prevent caregiver dosing errors.

  • Lecture time: Thursday: 13:30:00 - 14:20:00 ET
  • Lab time: Tuesday: 13:30:00 - 15:20:00 ET
  • Domain: Forestry
  • Keywords: Cost Efficiency Improvement, Forest Inventory and Analysis, Forest Succession, Geospatial Analysis, Plant Community Ecology, Plant Competitive Interactions, Satellite Imagery
  • Tools: ArcMap, Excel, R, SQL
  • Citizenship: Open to all students
Summary

Group will choose one of two options: 1) Change in high resolution imagery and its relationship to satellite timeseries data. 2) Forest community change analysis.

  • Lecture time: Friday: 13:30:00 - 14:20:00 ET
  • Lab time: Monday: 13:30:00 - 15:20:00 ET
  • Domain: University
  • Keywords: Data Cleaning, Factor Analysis, Student Experience, Student Life
  • Tools: Data Exploration, Python, R, Statistical Modeling, Technical Writing
  • Citizenship: Open to all students
Summary

Exploratory data analysis into the many factors that influence the student experience, GPA, and retention for Student Life.

  • Lecture time: Thursday: 12:30:00 - 13:20:00 ET
  • Lab time: Tuesday: 11:30:00 - 13:20:00 ET
  • Domain: Agriculture
  • Keywords: Clustering, Feature Extraction, NLP, Text Classification
  • Tools: Data Cleansing, Data Exploration, JMP/SAS, Python, Pytorch, R, Tensorflow, Web-scraping
  • Citizenship: Open to all students
Summary

1) Identify meta-level grouping factors/characteristics via text mining from relevant agronomic/biotech literature to map/reduce the variety naming space and better support agronomic insights. 2) Use NLP techniques to clean up the variety names.

  • Lecture time: Friday: 11:30:00 - 12:20:00 ET
  • Lab time: Monday: 11:30:00 - 13:20:00 ET
  • Domain: Agriculture
  • Keywords: AWS Cloud Services, Computer Vision, Machine Learning, Satellite Imagery, Spark, Wildlife Conservation
  • Tools: Computer Vision, Geospatial Data Analysis, Machine Learning, Radar Data, Satellite Imagery
  • Citizenship: Open to all students
Summary

Develop an automated approach to enroll customer acres and generate a profitability map in ArcGIS.

  • Lecture time: Monday: 15:30:00 - 16:20:00 ET
  • Lab time: Friday: 15:30:00 - 17:20:00 ET
  • Domain: Animal Health
  • Keywords: Animal Behavior, Computer Vision, IoT
  • Tools: Python, R, Shiny App
  • Citizenship: Open to all students
Summary

Utilize computer vision AI system to enable in-home pet identification and diagnostics

  • Lecture time: Monday: 11:30:00 - 12:20:00 ET
  • Lab time: Friday: 11:30:00 - 13:20:00 ET
  • Domain: University
  • Keywords: Pricing, Secondary Market Data, Stadium Mapping, Ticket Sales, Ticket Usage
  • Tools: Python, R, Tableau
  • Citizenship: Open to all students
Summary

The 22-23 projects will finalize current projects with live events to include populating the Ross-Ade stadium map with ticket sales data and game day scan data from both static files and auto generated .iqy files.