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  • Lecture time: Thursday: 13:30:00 - 14:20:00 ET
  • Lab time: Tuesday: 13:30:00 - 15:20:00 ET
  • Domain: Digital Agriculture
  • Keywords: Agriculture, Genetics, Optimization, Predictive Modeling, Simulation modeling
  • Tools: Optimization, Python, R, Stimulation
  • Citizenship: Open to all students
Summary

The project will explore, develop, and evaluate multi-generational simulation and optimization frameworks to breed improved genetics.

  • Lecture time: Friday: 11:30:00 - 12:20:00 ET
  • Lab time: Monday: 11:30:00 - 13:20:00 ET
  • Domain: Manufacturing
  • Keywords: LangChain, Large Language Models, Machine Learning, Python, Time Series Analysis, Vector and Raster Data, Visualizations
  • Tools: Gradio, Hugging Face, Pandas, Python, Pytorch, StreamLit
  • Citizenship: Open to all students
Summary

Creating a data dashboard with an integrated chatbot capable of helping the user to perform a variety of data mining and analysis tasks including: retrieving, preprocessing and visualizing sensor data, summarizing and answering questions about data and time-series forecasting.

  • Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
  • Lab time: Thursday: 11:30:00 - 13:20:00 ET
  • Domain: Agriculture
  • Keywords: Abamectin, Almonds, Correlation, Miticides, Nealta, Predictive Analysis
  • Tools: Excel, SAS, Statistics
  • Citizenship: Open to all students
Summary

Analyze historical data of miticide applications on California almond acres and test if a correlation exists between the 1st application of a non-premium miticide and the second application of premium brands. Develop a model for application needs.

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.

  • Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
  • Lab time: Thursday: 13:30:00 - 15:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, biology, Data Visualization, Genetics, Manufacturing, Optimization, Sustainability, Visualizations
  • Tools: Clustering Algorithms, Excel, Python, R, SQL, Statistics
  • Citizenship: Open to all students
Summary

Use data science to identify key factors affecting seed quality and germination with large historical datasets and statistical tools to impact business decisions. Factors include weather, field location, farming practices, harvest date, seed genetics/handling/age/shape and more.

  • Lecture time: Friday: 11:30:00 - 12:20:00 ET
  • Lab time: Monday: 11:30:00 - 13:20:00 ET
  • Domain: Digital Agriculture
  • Keywords: Forecasting, Machine Learning, Probabilistic Demand Forecasting, Supply Chain, Time Series Analysis
  • Tools: Data Analytics, Optimization, Probabilistic Forecasting, Python, Time Series Data Analysis and Forecasting
  • Citizenship: Open to all students
Summary

Develop a probabilistic demand forecasting method to predict the next 12 months of demand for the given part-location combinations. The accuracy of the methods will be evaluated using a variety of metrics associated with different demand time series patterns and weighted

  • Lecture time: Monday: 15:30:00 - 16:20:00 ET
  • Lab time: Friday: 15:30:00 - 17:20:00 ET
  • Domain: Technology
  • Keywords: Accessibility, Business Intelligence, Data Analytics, Data Visualization, entrepreneurship
  • Tools: Python, R, SQL
  • Citizenship: Open to all students
Summary

The team will provide analysis to senior leaders on employee engagement, predicting employee attrition, identifying high performers, and identifying opportunities for management development. ​

  • Lecture time: Thursday: 09:30:00 - 10:20:00 ET
  • Lab time: Tuesday: 09:30:00 - 11:20:00 ET
  • Domain: Health
  • Keywords: Clinical Trials, Data Analytics, Data Visualization, Graph Analysis, Statistics
  • Tools: Data Analytics, Power BI, R, Statistics
  • Citizenship: Open to all students
Summary

Cook Research Incorporated (CRI, West Lafayette, IN) is a research company that is part of Cook Medical. This project intends to design and implement a system that monitors and presents clinical trial operational data (meta-data) to help direct resource utilization.

Elanco - Knowledge Graphs Biomedical Discovery
Closed for Registration NDMN/IDM
  • Lecture time: Monday: 15:30:00 - 16:20:00 ET
  • Lab time: Friday: 15:30:00 - 17:20:00 ET
  • Domain: Animal Health
  • Keywords: Biomedical Science, Drug Research and Development, Neural Networks
  • Tools: Excel, Knowledge graphs, Machine Learning, Python
  • Citizenship: Open to all students
Summary

Explore knowledge graphs, use computational approaches, and support target identification, prioritization, and validation. Identify and prioritize targets for animal diseases, discover evidence for targets and infer new indications for a drug or find new potential treatments.

ASL Education Center - ASLAssessment: Student Result Analysis
Closed for Registration DEAFPODS Students Only
  • Lecture time: Monday & Tuesday & Wednesday & Thursday: 11:00:00 - 12:00:00 ET
  • Lab time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Domain: Education
  • Keywords: Comparative Analysis, data mining, Optimization, Psychometrics
  • Tools: PostgreSQL, R, Statistics
  • Citizenship: U.S. Citizens Required
Summary

Clean up the database (sort and categorize), confirm the exact number of students who have taken ASLA to date, and analyze student performance over the years