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BASF - Market Models
Open for Registration NDMN/IDM
  • Lecture time: Friday: 11:30:00 - 12:20:00 ET
  • Lab time: Monday: 11:30:00 - 13:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, Market Development, Market Trends
  • Tools: Data Exploration, Feature Engineering, Machine Learning, Python, Time Series Data Analysis
  • Citizenship: Open to all students
Summary

In order to better understand how to deliver solutions for our customers we wish to better understand the market dynamics a grower faces. Specifically, within key market segments. Tools for evaluation will be at the student's discretion.

  • Lecture time: Monday: 15:30:00 - 16:20:00 ET
  • Lab time: Wednesday: 15:30:00 - 17:20:00 ET
  • Domain: Biomedical Engineering
  • Keywords: Biomedical Engineering, Documentation, Multi-Disciplinary, Oxygen Concentrator, Prototyping
  • Tools: Electrical Engineering, Mechanical Engineering, Python, Software Engineering
  • Citizenship: Open to all students
Summary

This Project will be in collaboration with Purdue Biomedical Engineering students in EPICS Mission: Build an oxygen concentrator (hardware & software) out of generic (non-proprietary) parts and prepare instructions how to repair the build if it breaks.

  • Lecture time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Lab time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Domain: Insurance
  • Keywords: Data Manipulation
  • Tools: Machine Learning, Python, Snowflake, SQL
  • Citizenship: Open to all students
Summary

Some high-cost healthcare services require pre-authorization to ensure members are receiving appropriate, medically necessary care. Pre-authorization data patterns can provide early insight into healthcare patterns before paid claims data is available.

  • Lecture time: Thursday: 15:30:00 - 16:20:00 ET
  • Lab time: Tuesday: 15:30:00 - 17:20:00 ET
  • Domain: Aerospace
  • Keywords: Aerospace, Simulation modeling
  • Tools: Data Modeling, Linear Optimization, Machine Learning, Programming, Statistical Modeling, Stimulation
  • Citizenship: U.S. Citizens Required
Summary

Ground, flight, and simulation predictions disagree: how do we understand and predict the differences? The team will utilize Talon-P, a derived rocket-place data source, and statistical modeling to coorelate between flight, ground, and simulation data durin.

  • Lecture time: Thursday: 13:30:00 - 14:20:00 ET
  • Lab time: Tuesday: 13:30:00 - 15:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, Climate, Machine Learning, Viticulture, Weather Data
  • Tools: AI forecast generation, Artificial Intelligence, Data Exploration, Data Integration, Machine Learning, Python, Time Series Data Analysis
  • Citizenship: Open to all students
Summary

Build off the previous Data Mine team and their LSTM model to determine which weather variables within the model have the highest relationship with yield. Investigate AI-driven long-range weather forecast models (ideally 3 + month) to predict next season grape wine yields.

  • Lecture time: Tuesday: 10:30:00 - 11:20:00 ET
  • Lab time: Thursday: 09:30:00 - 11:20:00 ET
  • Domain: Education
  • Keywords: Audio Analytics, Classification, Machine Learning, Text Analytics, Visualizations
  • Tools: Azure, Data Visualization
  • Citizenship: Open to all students
Summary

Technology and analytics enabled improvement to elicit knowledge from experts and transfer effectively to successors.

  • Lecture time: Thursday: 12:30:00 - 13:20:00 ET
  • Lab time: Tuesday: 11:30:00 - 13:20:00 ET
  • Domain: Manufacturing
  • Keywords: Optimization, Supply Chain
  • Tools: Manufacturing Industry Specifics, Optimization, smart manufacturing
  • Citizenship: Open to all students
Summary

YPPI creates a daily wax schedule manually which is dependent on customer demand and requested ship dates. Based on requested model and manufacturing type, and factoring in build time, people and equipment resource availability, YPPI needs a user-friendly method of determining th

  • Lecture time: Tuesday: 11:30:00 - 12:20:00 ET
  • Lab time: Thursday: 11:30:00 - 13:20:00 ET
  • Domain: Athletics
  • Keywords: Optimized Training, Profiling Athletes
  • Tools: Data Management, Python, R, Tableau
  • Citizenship: Open to all students
Summary

Infer outcomes and recommendations for optimal training. Create an understanding of outcomes based on individual profiles and trends from training data. Identifying metrics most impactful on performance and reporting through Tableau that can be utilized in the Apollo AMS system.

  • Lecture time: Tuesday: 11:30:00 - 12:20:00 ET
  • Lab time: Thursday: 11:30:00 - 13:20:00 ET
  • Domain: Technology
  • Keywords: AI, High Performance Compute, infrastructure, Software Developement
  • Tools: Ansible, NodeJS, Python, ROCm, Ubuntu
  • Citizenship: Open to all students
Summary

Concrete Engine builds computing and storage into shipping containers and connects them directly to green and underutilized energy sources. Using software-defined infrastructure, we empower AI solutions for the 21st century.

  • Lecture time: Thursday: 15:30:00 - 16:20:00 ET
  • Lab time: Tuesday: 15:30:00 - 17:20:00 ET
  • Domain: Aerospace
  • Keywords: cyber security, Machine Learning, Satellite, Satellite
  • Tools: Linux, NLP, Python, SPARTA
  • Citizenship: U.S. Citizens Required
Summary

Students will develop a machine-learning model to detect and identify cyberattack-based anomalies using satellite telemetry data.